{
  "generateAndExecuteCode": {
    "name": "generateAndExecuteCode",
    "input_schema": {
      "language": "string",
      "code": "string"
    },
    "output_schema": {
      "result": "string",
      "error": "string"
    },
    "code": "async function generateAndExecuteCode(language, code) {\n  const tempFile = `temp_${Date.now()}.${language === 'python' ? 'py' : language === 'ruby' ? 'rb' : 'js'}`;\n  \n  let command;\n  switch(language.toLowerCase()) {\n    case 'javascript':\n      command = `node ${tempFile}`;\n      break;\n    case 'python':\n      command = `python ${tempFile}`;\n      break;\n    case 'ruby':\n      command = `ruby ${tempFile}`;\n      break;\n    default:\n      throw new Error(`Unsupported language: ${language}`);\n  }\n\n  try {\n    await fs.writeFile(tempFile, code);\n    const { stdout, stderr } = await execPromise(command);\n    return { result: stdout, error: stderr };\n  } catch (error) {\n    return { result: '', error: error.message };\n  } finally {\n    await fs.unlink(tempFile).catch(() => {}); // Ignore errors if file doesn't exist\n  }\n}\n\nconst { result, error } = await generateAndExecuteCode(params.language, params.code);\nreturn { result, error };",
    "description": "Generate and execute code in various programming languages"
  },
  "executeBash": {
    "name": "executeBash",
    "input_schema": {
      "command": "string"
    },
    "output_schema": {
      "output": "string"
    },
    "code": "try {\n  const { stdout, stderr } = await execPromise(params.command);\n  return { output: stdout.trim() + (stderr ? '\\nError: ' + stderr.trim() : '') };\n} catch (error) {\n  throw new Error(`Bash command failed: ${error.message}`);\n}",
    "description": "Execute a bash command and return its output"
  },
  "readFile": {
    "name": "readFile",
    "input_schema": {
      "path": "string"
    },
    "output_schema": {
      "content": "string"
    },
    "code": "try {\n  const content = await fs.readFile(params.path, 'utf8');\n  return { content };\n} catch (error) {\n  throw new Error(`Failed to read file: ${error.message}`);\n}",
    "description": "Read the contents of a file"
  },
  "writeFile": {
    "name": "writeFile",
    "input_schema": {
      "path": "string",
      "content": "string"
    },
    "output_schema": {
      "success": "boolean"
    },
    "code": "try {\n  await fs.writeFile(params.path, params.content, 'utf8');\n  return { success: true };\n} catch (error) {\n  throw new Error(`Failed to write file: ${error.message}`);\n}",
    "description": "Write content to a file"
  },
  "searchFiles": {
    "name": "searchFiles",
    "input_schema": {
      "pattern": "string",
      "directory": "string"
    },
    "output_schema": {
      "matches": "string"
    },
    "code": "try {\n  const { stdout, stderr } = await execPromise(`grep -r \"${params.pattern}\" ${params.directory}`);\n  return { matches: stdout.trim() + (stderr ? '\\nError: ' + stderr.trim() : '') };\n} catch (error) {\n  if (error.code === 1 && error.stdout === '') {\n    return { matches: 'No matches found.' };\n  }\n  throw new Error(`File search failed: ${error.message}`);\n}",
    "description": "Search for a pattern in files within a directory"
  },
  "searchAndReplace": {
    "name": "searchAndReplace",
    "input_schema": {
      "filePath": "string",
      "searchPattern": "string",
      "replaceText": "string"
    },
    "output_schema": {
      "success": "boolean",
      "modifiedContent": "string"
    },
    "code": "try {\n  const content = await fs.readFile(params.filePath, 'utf8');\n  const modifiedContent = content.replace(new RegExp(params.searchPattern, 'g'), params.replaceText);\n  await fs.writeFile(params.filePath, modifiedContent, 'utf8');\n  return { \n    success: true, \n    modifiedContent: modifiedContent \n  };\n} catch (error) {\n  throw new Error(`Search and replace failed: ${error.message}`);\n}",
    "description": "Search for a pattern in a file and replace all occurrences"
  },
  "staticCodeAnalyzer": {
    "name": "staticCodeAnalyzer",
    "input_schema": {
      "filePath": "string"
    },
    "output_schema": {
      "results": "array"
    },
    "code": "const { filePath } = params;\nconst { logger } = context;\n\ntry {\n  const fileContent = await fs.readFile(filePath, 'utf-8');\n  const sourceFile = ts.createSourceFile(\n    path.basename(filePath),\n    fileContent,\n    ts.ScriptTarget.Latest,\n    true\n  );\n\n  const results = [{\n    filename: path.basename(filePath),\n    issues: []\n  }];\n\n  // Simple static analysis rules\n  ts.forEachChild(sourceFile, node => {\n    // Check for console.log statements\n    if (ts.isCallExpression(node) &&\n        ts.isPropertyAccessExpression(node.expression) &&\n        node.expression.expression.getText() === 'console' &&\n        node.expression.name.getText() === 'log') {\n      results[0].issues.push({\n        line: sourceFile.getLineAndCharacterOfPosition(node.getStart()).line + 1,\n        character: sourceFile.getLineAndCharacterOfPosition(node.getStart()).character,\n        message: 'Avoid using console.log in production code',\n        severity: 'warning'\n      });\n    }\n\n    // Check for empty catch blocks\n    if (ts.isCatchClause(node) && \n        ts.isBlock(node.block) && \n        node.block.statements.length === 0) {\n      results[0].issues.push({\n        line: sourceFile.getLineAndCharacterOfPosition(node.getStart()).line + 1,\n        character: sourceFile.getLineAndCharacterOfPosition(node.getStart()).character,\n        message: 'Empty catch block detected',\n        severity: 'warning'\n      });\n    }\n\n    // Add more static analysis rules here...\n  });\n\n  logger.info(`Static code analysis completed for ${filePath}`);\n  return { results };\n} catch (error) {\n  logger.error(`Error during static code analysis: ${error}`);\n  throw new Error(`Static code analysis failed: ${error}`);\n}",
    "description": "Perform static code analysis on a TypeScript file"
  },
  "gitStatus": {
    "name": "gitStatus",
    "input_schema": {},
    "output_schema": {
      "status": "string"
    },
    "code": "try {\n  const { stdout, stderr } = await execPromise('git status');\n  return { status: stdout + stderr };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Git status failed: ${error.message}`);\n  }\n  throw new Error('Git status failed with an unknown error');\n}",
    "description": "Get the current Git status of the repository"
  },
  "gitCommit": {
    "name": "gitCommit",
    "input_schema": {
      "message": "string"
    },
    "output_schema": {
      "result": "string"
    },
    "code": "try {\n  const { stdout, stderr } = await execPromise(`git commit -m \"${params.message}\"`);\n  return { result: stdout + stderr };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Git commit failed: ${error.message}`);\n  }\n  throw new Error('Git commit failed with an unknown error');\n}",
    "description": "Commit changes to the Git repository"
  },
  "gitPush": {
    "name": "gitPush",
    "input_schema": {
      "remote": "string",
      "branch": "string"
    },
    "output_schema": {
      "result": "string"
    },
    "code": "try {\n  const { stdout, stderr } = await execPromise(`git push ${params.remote} ${params.branch}`);\n  return { result: stdout + stderr };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Git push failed: ${error.message}`);\n  }\n  throw new Error('Git push failed with an unknown error');\n}",
    "description": "Push changes to a remote Git repository"
  },
  "gitPull": {
    "name": "gitPull",
    "input_schema": {
      "remote": "string",
      "branch": "string"
    },
    "output_schema": {
      "result": "string"
    },
    "code": "try {\n  const { stdout, stderr } = await execPromise(`git pull ${params.remote} ${params.branch}`);\n  return { result: stdout + stderr };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Git pull failed: ${error.message}`);\n  }\n  throw new Error('Git pull failed with an unknown error');\n}",
    "description": "Pull changes from a remote Git repository"
  },
  "gitBranch": {
    "name": "gitBranch",
    "input_schema": {
      "operation": "string",
      "branchName": "string"
    },
    "output_schema": {
      "result": "string"
    },
    "code": "try {\n  let command: string;\n  switch (params.operation) {\n    case 'create':\n      command = `git branch ${params.branchName}`;\n      break;\n    case 'delete':\n      command = `git branch -d ${params.branchName}`;\n      break;\n    case 'list':\n      command = 'git branch';\n      break;\n    default:\n      throw new Error(`Invalid branch operation: ${params.operation}`);\n  }\n  const { stdout, stderr } = await execPromise(command);\n  return { result: stdout + stderr };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Git branch operation failed: ${error.message}`);\n  }\n  throw new Error('Git branch operation failed with an unknown error');\n}",
    "description": "Perform Git branch operations (create, delete, list)"
  },
  "gitDiff": {
    "name": "gitDiff",
    "input_schema": {
      "target": "string"
    },
    "output_schema": {
      "diff": "string"
    },
    "code": "try {\n  const { stdout, stderr } = await execPromise(`git diff ${params.target}`);\n  return { diff: stdout + stderr };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Git diff failed: ${error.message}`);\n  }\n  throw new Error('Git diff failed with an unknown error');\n}",
    "description": "Show changes between commits, commit and working tree, etc"
  },
  "gitClone": {
    "name": "gitClone",
    "input_schema": {
      "repositoryUrl": "string",
      "directory": "string"
    },
    "output_schema": {
      "result": "string"
    },
    "code": "try {\n  const { stdout, stderr } = await execPromise(git clone ${params.repositoryUrl} ${params.directory});\n  return { result: stdout + stderr };\n} catch (error) {\n  throw new Error(Git clone failed: ${error.message});\n}",
    "description": "Clone a Git repository to a specified directory"
  },
  "installDependencies": {
    "name": "installDependencies",
    "input_schema": {
      "packageManager": "string"
    },
    "output_schema": {
      "result": "string"
    },
    "code": "try {\n  const command = params.packageManager === 'npm' ? 'npm install' : 'yarn install';\n  const { stdout, stderr } = await execPromise(command);\n  return { result: stdout + stderr };\n} catch (error) {\n  throw new Error(Dependency installation failed: ${error.message});\n}",
    "description": "Install project dependencies using npm or yarn"
  },
  "analyzeDbSchema": {
    "name": "analyzeDbSchema",
    "input_schema": {
      "dbType": "string",
      "connectionString": "string"
    },
    "output_schema": {
      "schema": "object"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would use a database-specific\n  // library to connect to the database and retrieve the schema.\n  const { stdout, stderr } = await execPromise(`echo \"Analyzing ${params.dbType} schema for ${params.connectionString}\"`);\n  return { schema: { tables: [], relationships: [] } };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Database schema analysis failed: ${error.message}`);\n  }\n  throw new Error('Database schema analysis failed with an unknown error');\n}",
    "description": "Analyze the schema of a database"
  },
  "generateQuery": {
    "name": "generateQuery",
    "input_schema": {
      "dbType": "string",
      "schema": "object",
      "requirement": "string"
    },
    "output_schema": {
      "query": "string"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would use AI or rule-based systems\n  // to generate an optimized query based on the schema and requirement.\n  const { stdout, stderr } = await execPromise(`echo \"Generating ${params.dbType} query for: ${params.requirement}\"`);\n  return { query: `SELECT * FROM placeholder WHERE condition = true;` };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Query generation failed: ${error.message}`);\n  }\n  throw new Error('Query generation failed with an unknown error');\n}",
    "description": "Generate and optimize a database query based on requirements"
  },
  "planDataMigration": {
    "name": "planDataMigration",
    "input_schema": {
      "sourceDbType": "string",
      "targetDbType": "string",
      "sourceSchema": "object",
      "targetSchema": "object"
    },
    "output_schema": {
      "migrationPlan": "object"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would analyze the source and target schemas,\n  // and generate a detailed migration plan.\n  const { stdout, stderr } = await execPromise(`echo \"Planning migration from ${params.sourceDbType} to ${params.targetDbType}\"`);\n  return { \n    migrationPlan: { \n      steps: [\n        { description: \"Step 1: Export data from source database\" },\n        { description: \"Step 2: Transform data to match target schema\" },\n        { description: \"Step 3: Import data into target database\" },\n        { description: \"Step 4: Verify data integrity\" }\n      ] \n    } \n  };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Data migration planning failed: ${error.message}`);\n  }\n  throw new Error('Data migration planning failed with an unknown error');\n}",
    "description": "Plan a data migration between two databases"
  },
  "generateApiDocs": {
    "name": "generateApiDocs",
    "input_schema": {
      "apiSpecPath": "string",
      "outputFormat": "string"
    },
    "output_schema": {
      "documentation": "string"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would parse the API spec\n  // and generate documentation in the specified format.\n  const apiSpec = await fs.readFile(params.apiSpecPath, 'utf-8');\n  const documentation = `API Documentation (${params.outputFormat}):\\n\\n${apiSpec}`;\n  return { documentation };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`API documentation generation failed: ${error.message}`);\n  }\n  throw new Error('API documentation generation failed with an unknown error');\n}",
    "description": "Generate API documentation from an API specification file"
  },
  "runApiTests": {
    "name": "runApiTests",
    "input_schema": {
      "testSuitePath": "string",
      "apiBaseUrl": "string"
    },
    "output_schema": {
      "testResults": "object"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would load and run\n  // the API tests, then return the results.\n  const testSuite = await fs.readFile(params.testSuitePath, 'utf-8');\n  const testResults = {\n    totalTests: 10,\n    passed: 8,\n    failed: 2,\n    details: `Test suite: ${testSuite}\\nAPI Base URL: ${params.apiBaseUrl}`\n  };\n  return { testResults };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`API testing failed: ${error.message}`);\n  }\n  throw new Error('API testing failed with an unknown error');\n}",
    "description": "Run automated tests for an API"
  },
  "versionApi": {
    "name": "versionApi",
    "input_schema": {
      "currentVersion": "string",
      "changes": "object"
    },
    "output_schema": {
      "newVersion": "string",
      "migrationPlan": "object"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would analyze the changes,\n  // determine the new version number, and create a migration plan.\n  const versionParts = params.currentVersion.split('.').map(Number);\n  versionParts[2] += 1; // Increment patch version\n  const newVersion = versionParts.join('.');\n  const migrationPlan = {\n    version: newVersion,\n    steps: [\n      { description: \"Update API version number in configuration files\" },\n      { description: \"Apply changes to API endpoints\" },\n      { description: \"Update API documentation\" },\n      { description: \"Run regression tests\" }\n    ]\n  };\n  return { newVersion, migrationPlan };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`API versioning failed: ${error.message}`);\n  }\n  throw new Error('API versioning failed with an unknown error');\n}",
    "description": "Version an API based on changes and create a migration plan"
  },
  "profileCode": {
    "name": "profileCode",
    "input_schema": {
      "filePath": "string",
      "language": "string"
    },
    "output_schema": {
      "profileResult": "string"
    },
    "code": "try {\n  let command: string;\n  switch (params.language.toLowerCase()) {\n    case 'python':\n      command = `python -m cProfile ${params.filePath}`;\n      break;\n    case 'javascript':\n      command = `node --prof ${params.filePath} && node --prof-process isolate-*-v8.log > profile_output.txt && cat profile_output.txt`;\n      break;\n    default:\n      throw new Error(`Unsupported language for profiling: ${params.language}`);\n  }\n  \n  const { stdout, stderr } = await execPromise(command);\n  return { profileResult: stdout + stderr };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Code profiling failed: ${error.message}`);\n  }\n  throw new Error('Code profiling failed with an unknown error');\n}",
    "description": "Profile code execution and return performance metrics"
  },
  "analyzeMemoryUsage": {
    "name": "analyzeMemoryUsage",
    "input_schema": {
      "filePath": "string",
      "language": "string"
    },
    "output_schema": {
      "memoryAnalysis": "string"
    },
    "code": "try {\n  let command: string;\n  switch (params.language.toLowerCase()) {\n    case 'python':\n      command = `python -m memory_profiler ${params.filePath}`;\n      break;\n    case 'javascript':\n      command = `node --expose-gc --max-old-space-size=4096 ${params.filePath}`;\n      break;\n    default:\n      throw new Error(`Unsupported language for memory analysis: ${params.language}`);\n  }\n  \n  const { stdout, stderr } = await execPromise(command);\n  return { memoryAnalysis: stdout + stderr };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Memory usage analysis failed: ${error.message}`);\n  }\n  throw new Error('Memory usage analysis failed with an unknown error');\n}",
    "description": "Analyze memory usage of code execution"
  },
  "suggestPerformanceImprovements": {
    "name": "suggestPerformanceImprovements",
    "input_schema": {
      "filePath": "string",
      "profileResult": "string",
      "memoryAnalysis": "string"
    },
    "output_schema": {
      "suggestions": "string"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would analyze the profile results\n  // and memory analysis to generate meaningful suggestions.\n  const fileContent = await fs.readFile(params.filePath, 'utf-8');\n  const suggestions = `\nBased on the profile results and memory analysis, here are some suggestions:\n1. Optimize the most time-consuming functions\n2. Reduce memory allocations in frequently called functions\n3. Consider using more efficient data structures\n4. Implement caching for expensive operations\n5. Review and optimize any nested loops\n      `;\n  return { suggestions };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Generating performance improvement suggestions failed: ${error.message}`);\n  }\n  throw new Error('Generating performance improvement suggestions failed with an unknown error');\n}",
    "description": "Suggest performance improvements based on profiling and memory analysis results"
  },
  "scanVulnerabilities": {
    "name": "scanVulnerabilities",
    "input_schema": {
      "projectPath": "string",
      "scanType": "string"
    },
    "output_schema": {
      "vulnerabilities": "object"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would use a security scanning tool\n  // like OWASP ZAP, Snyk, or a custom script to perform the vulnerability scan.\n  const { stdout, stderr } = await execPromise(`echo \"Scanning ${params.projectPath} for ${params.scanType} vulnerabilities\"`);\n  return { \n    vulnerabilities: {\n      high: 2,\n      medium: 5,\n      low: 10,\n      details: \"Placeholder vulnerability scan results\"\n    } \n  };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Vulnerability scan failed: ${error.message}`);\n  }\n  throw new Error('Vulnerability scan failed with an unknown error');\n}",
    "description": "Scan a project for security vulnerabilities"
  },
  "checkSecureCoding": {
    "name": "checkSecureCoding",
    "input_schema": {
      "filePath": "string",
      "language": "string"
    },
    "output_schema": {
      "issues": "array"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would use a static analysis tool\n  // or a custom script to check for secure coding practices.\n  const fileContent = await fs.readFile(params.filePath, 'utf-8');\n  const issues = [\n    { line: 10, message: \"Potential SQL injection vulnerability\" },\n    { line: 25, message: \"Insecure random number generation\" },\n    { line: 42, message: \"Hardcoded credentials detected\" }\n  ];\n  return { issues };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Secure coding check failed: ${error.message}`);\n  }\n  throw new Error('Secure coding check failed with an unknown error');\n}",
    "description": "Check a file for secure coding practices"
  },
  "analyzeDependencies": {
    "name": "analyzeDependencies",
    "input_schema": {
      "projectPath": "string"
    },
    "output_schema": {
      "vulnerableDependencies": "array"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would use a tool like npm audit,\n  // yarn audit, or a third-party service to check for vulnerable dependencies.\n  const { stdout, stderr } = await execPromise(`echo \"Analyzing dependencies in ${params.projectPath}\"`);\n  const vulnerableDependencies = [\n    { name: \"lodash\", version: \"4.17.15\", vulnerabilities: [\"CVE-2020-8203\"] },\n    { name: \"axios\", version: \"0.19.2\", vulnerabilities: [\"CVE-2020-28168\"] }\n  ];\n  return { vulnerableDependencies };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Dependency analysis failed: ${error.message}`);\n  }\n  throw new Error('Dependency analysis failed with an unknown error');\n}",
    "description": "Analyze project dependencies for known vulnerabilities"
  },
  "generateCiCdPipeline": {
    "name": "generateCiCdPipeline",
    "input_schema": {
      "projectType": "string",
      "cicdPlatform": "string"
    },
    "output_schema": {
      "pipelineConfig": "string"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would generate a CI/CD pipeline\n  // configuration based on the project type and CI/CD platform.\n  const pipelineConfig = `\n# ${params.cicdPlatform} CI/CD Pipeline for ${params.projectType}\nname: CI/CD\n\non:\n  push:\n    branches: [ main ]\n  pull_request:\n    branches: [ main ]\n\njobs:\n  build:\n    runs-on: ubuntu-latest\n    steps:\n    - uses: actions/checkout@v2\n    - name: Set up environment\n      run: echo \"Setting up environment for ${params.projectType}\"\n    - name: Install dependencies\n      run: echo \"Installing dependencies\"\n    - name: Run tests\n      run: echo \"Running tests\"\n    - name: Build\n      run: echo \"Building ${params.projectType} project\"\n    - name: Deploy\n      run: echo \"Deploying to production\"\n      `;\n  return { pipelineConfig };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`CI/CD pipeline generation failed: ${error.message}`);\n  }\n  throw new Error('CI/CD pipeline generation failed with an unknown error');\n}",
    "description": "Generate a CI/CD pipeline configuration"
  },
  "createBuildScript": {
    "name": "createBuildScript",
    "input_schema": {
      "projectType": "string",
      "buildSteps": {
        "type": "array",
        "items": {
          "type": "string"
        }
      }
    },
    "output_schema": {
      "buildScript": "string"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would create a build script\n  // based on the project type and specified build steps.\n  const buildScript = `\n#!/bin/bash\nset -e\n\necho \"Building ${params.projectType} project\"\n\n${params.buildSteps.map((step, index) => `echo \"Step ${index + 1}: ${step}\"\\n${step}`).join('\\n\\n')}\n\necho \"Build completed successfully\"\n      `;\n  return { buildScript };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Build script creation failed: ${error.message}`);\n  }\n  throw new Error('Build script creation failed with an unknown error');\n}",
    "description": "Create a build script for the project"
  },
  "analyzeTestCoverage": {
    "name": "analyzeTestCoverage",
    "input_schema": {
      "projectPath": "string",
      "testCommand": "string"
    },
    "output_schema": {
      "coverageReport": "object"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would run the tests\n  // and analyze the coverage using a tool like Istanbul or Jest.\n  const { stdout, stderr } = await execPromise(`cd ${params.projectPath} && ${params.testCommand}`);\n  const coverageReport = {\n    overallCoverage: '85%',\n    statementCoverage: '90%',\n    branchCoverage: '80%',\n    functionCoverage: '85%',\n    lineCoverage: '87%',\n    details: stdout\n  };\n  return { coverageReport };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Test coverage analysis failed: ${error.message}`);\n  }\n  throw new Error('Test coverage analysis failed with an unknown error');\n}",
    "description": "Analyze test coverage for the project"
  },
  "generateImplementationPlan": {
    "name": "generateImplementationPlan",
    "input_schema": {
      "requirements": "array",
      "projectType": "string"
    },
    "output_schema": {
      "implementationPlan": "object"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would analyze the requirements\n  // and generate an implementation plan based on the project type.\n  const implementationPlan = {\n    projectType: params.projectType,\n    requirements: params.requirements,\n    steps: [\n      { description: \"Analyze requirements and constraints\" },\n      { description: \"Design architecture and data model\" },\n      { description: \"Implement core features\" },\n      { description: \"Write tests and perform QA\" },\n      { description: \"Deploy to production and monitor performance\" }\n    ]\n  };\n  return { implementationPlan };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Implementation plan generation failed: ${error.message}`);\n  }\n  throw new Error('Implementation plan generation failed with an unknown error');\n}",
    "description": "Generate an implementation plan based on project requirements"
  },
  "callAI": {
    "name": "callAI",
    "input_schema": {
      "system_prompt": "string",
      "user_prompt": "string",
      "provider": "string",
      "model": "string"
    },
    "output_schema": {
      "result": "string"
    },
    "code": "try {\n  // This is a placeholder. In a real implementation, you would call an AI model\n  // with the input data and return the prediction.\n  const { stdout, stderr } = await execPromise(`echo \"Calling AI model: ${params.model}\"`);\n  return { prediction: { result: 'Placeholder prediction', details: stdout } };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`AI model call failed: ${error.message}`);\n  }\n  throw new Error('AI model call failed with an unknown error');\n}",
    "description": "Call the provider and AI model with system and user prompts"
  },
  "search_google": {
    "name": "search_google",
    "input_schema": {
      "query": "string"
    },
    "output_schema": {
      "results": "string"
    },
    "code": "try {\n  const config = {\n    GOOGLE_API_KEY: process.env.GOOGLE_API_KEY,\n    GOOGLE_CX_ID: process.env.GOOGLE_CX_ID\n  };\n  const axios = require('axios');\n  const response = await axios.get(`https://www.googleapis.com/customsearch/v1?key=${config.GOOGLE_API_KEY}&cx=${config.GOOGLE_CX_ID}&q=${encodeURIComponent(params.query)}`);\n  const results = response.data.items.map((item) => ({\n    title: item.title,\n    link: item.link\n  }));\n  return { results: JSON.stringify(results) };\n} catch (error) {\n  if (error instanceof Error) {\n    throw new Error(`Google search failed: ${error.message}`);\n  }\n  throw new Error('Google search failed with an unknown error');\n}",
    "description": "Perform a Google search using the given query"
  }
}