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bswa006

AI Agent Template MCP Server

by bswa006

validate_generated_code

Check generated code for security issues, patterns, and best practices to ensure quality and reliability in AI agent development.

Instructions

Validate generated code for patterns, security, and best practices

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesThe generated code to validate
typeYesType of code being validated
targetFileNoTarget file path for context

Implementation Reference

  • Core handler function that executes the validate_generated_code tool logic. Performs comprehensive validation including common issues, naming, error handling, security, contextual patterns, and consistency checks.
    export async function validateGeneratedCode(
      code: string,
      context: string,
      targetFile?: string
    ): Promise<ValidationResult> {
      const result: ValidationResult = {
        valid: true,
        score: 100,
        issues: [],
        patterns: {
          followed: [],
          violated: [],
        },
      };
    
      // Load project patterns
      const projectPath = process.env.PROJECT_PATH || process.cwd();
      const contextPath = join(projectPath, 'CODEBASE-CONTEXT.md');
      let projectPatterns: any = {};
      
      if (existsSync(contextPath)) {
        const contextContent = readFileSync(contextPath, 'utf-8');
        projectPatterns = extractPatternsFromContext(contextContent);
      }
    
      // Validate against common issues
      validateCommonIssues(code, result);
      
      // Validate naming conventions
      validateNamingConventions(code, context, result, projectPatterns);
      
      // Validate error handling
      validateErrorHandling(code, result);
      
      // Validate security
      validateSecurity(code, result);
      
      // Validate patterns based on context
      validateContextualPatterns(code, context, result, projectPatterns);
      
      // Check if target file exists and validate consistency
      if (targetFile && existsSync(targetFile)) {
        validateConsistency(code, targetFile, result);
      }
    
      // Calculate final score
      const errorCount = result.issues.filter(i => i.severity === 'error').length;
      const warningCount = result.issues.filter(i => i.severity === 'warning').length;
      
      result.score = Math.max(0, 100 - (errorCount * 20) - (warningCount * 5));
      result.valid = errorCount === 0;
    
      return result;
    }
  • Registers the tool handlers for list and call. The switch statement includes the specific handler dispatch for 'validate_generated_code' which parses input and calls the validator function.
    export function setupTools(server: Server) {
      // Handle tool listing
      server.setRequestHandler(ListToolsRequestSchema, async () => {
        console.error(`Handling tools/list request, returning ${toolDefinitions.length} tools`);
        return { tools: toolDefinitions };
      });
    
      // Handle tool execution
      server.setRequestHandler(CallToolRequestSchema, async (request) => {
        const { name, arguments: args } = request.params;
    
        try {
          switch (name) {
            case 'check_before_suggesting': {
              const params = z.object({
                imports: z.array(z.string()),
                methods: z.array(z.string()),
                patterns: z.array(z.string()).optional(),
              }).parse(args);
              
              const result = await checkBeforeSuggesting(
                params.imports,
                params.methods,
                params.patterns
              );
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'validate_generated_code': {
              const params = z.object({
                code: z.string(),
                context: z.string(),
                targetFile: z.string().optional(),
              }).parse(args);
              
              const result = await validateGeneratedCode(
                params.code,
                params.context,
                params.targetFile
              );
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'get_pattern_for_task': {
              const params = z.object({
                taskType: z.enum(['component', 'hook', 'service', 'api', 'test', 'error-handling']),
                requirements: z.array(z.string()).optional(),
              }).parse(args);
              
              const pattern = await getPatternForTask(
                params.taskType,
                params.requirements
              );
              return {
                content: [
                  {
                    type: 'text',
                    text: pattern,
                  },
                ],
              };
            }
    
            case 'check_security_compliance': {
              const params = z.object({
                code: z.string(),
                sensitiveOperations: z.array(z.string()).optional(),
              }).parse(args);
              
              const result = await checkSecurityCompliance(
                params.code,
                params.sensitiveOperations
              );
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'detect_existing_patterns': {
              const params = z.object({
                directory: z.string(),
                fileType: z.string(),
              }).parse(args);
              
              const patterns = await detectExistingPatterns(
                params.directory,
                params.fileType
              );
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(patterns, null, 2),
                  },
                ],
              };
            }
    
            case 'initialize_agent_workspace': {
              const params = z.object({
                projectPath: z.string(),
                projectName: z.string(),
                techStack: z.object({
                  language: z.string().optional(),
                  framework: z.string().optional(),
                  uiLibrary: z.string().optional(),
                  testFramework: z.string().optional(),
                }).optional(),
              }).parse(args);
              
              const result = await initializeAgentWorkspace(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'generate_tests_for_coverage': {
              const params = z.object({
                targetFile: z.string(),
                testFramework: z.enum(['jest', 'vitest', 'mocha']).optional(),
                coverageTarget: z.number().optional(),
                includeEdgeCases: z.boolean().optional(),
                includeAccessibility: z.boolean().optional(),
              }).parse(args);
              
              const result = await generateTestsForCoverage(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'track_agent_performance': {
              const params = z.object({
                featureName: z.string(),
                timestamp: z.string(),
                metrics: z.object({
                  tokensUsed: z.number(),
                  timeElapsed: z.number(),
                  validationScore: z.number(),
                  securityScore: z.number(),
                  testCoverage: z.number(),
                  hallucinations: z.object({
                    detected: z.number(),
                    prevented: z.number(),
                    examples: z.array(z.string()),
                  }).optional().default({
                    detected: 0,
                    prevented: 0,
                    examples: [],
                  }),
                  errors: z.object({
                    syntax: z.number(),
                    runtime: z.number(),
                    type: z.number(),
                  }).optional().default({
                    syntax: 0,
                    runtime: 0,
                    type: 0,
                  }),
                }),
                improvements: z.object({
                  tokenReduction: z.number().optional(),
                  timeReduction: z.number().optional(),
                  qualityIncrease: z.number().optional(),
                }).optional(),
              }).parse(args);
              
              const result = await trackAgentPerformance(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'create_conversation_starters': {
              const params = z.object({
                projectPath: z.string(),
                analysisId: z.string().optional(),
                includeQuickTasks: z.boolean().optional(),
                includeCurrentWork: z.boolean().optional(),
                tokenLimit: z.number().optional(),
                customTasks: z.array(z.string()).optional(),
              }).parse(args);
              
              const result = await createConversationStarters(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'create_token_optimizer': {
              const params = z.object({
                projectPath: z.string(),
                analysisId: z.string().optional(),
                tiers: z.array(z.enum(['minimal', 'standard', 'comprehensive'])).optional(),
                trackUsage: z.boolean().optional(),
                generateMetrics: z.boolean().optional(),
              }).parse(args);
              
              const result = await createTokenOptimizer(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'create_ide_configs': {
              const params = z.object({
                projectPath: z.string(),
                analysisId: z.string().optional(),
                ide: z.enum(['cursor', 'vscode', 'intellij', 'all']),
                autoLoadContext: z.boolean().optional(),
                customRules: z.array(z.string()).optional(),
                includeDebugConfigs: z.boolean().optional(),
              }).parse(args);
              
              const result = await createIDEConfigs(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'setup_persistence_automation': {
              const params = z.object({
                projectPath: z.string(),
                analysisId: z.string().optional(),
                updateSchedule: z.enum(['daily', 'weekly', 'on-change', 'manual']),
                gitHooks: z.boolean().optional(),
                monitoring: z.boolean().optional(),
                notifications: z.object({
                  email: z.string().optional(),
                  slack: z.string().optional(),
                }).optional(),
              }).parse(args);
              
              const result = await setupPersistenceAutomation(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'create_maintenance_workflows': {
              const params = z.object({
                projectPath: z.string(),
                analysisId: z.string().optional(),
                teamSize: z.number(),
                updateFrequency: z.enum(['daily', 'weekly', 'biweekly', 'monthly']),
                includeChecklists: z.boolean().optional(),
                includeMetrics: z.boolean().optional(),
                includeTraining: z.boolean().optional(),
              }).parse(args);
              
              const result = await createMaintenanceWorkflows(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'analyze_codebase_deeply': {
              const params = z.object({
                projectPath: z.string(),
                maxDepth: z.number().optional(),
                excludePatterns: z.array(z.string()).optional(),
              }).parse(args);
              
              const result = await analyzeCodebaseDeeply(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            case 'complete_setup_workflow': {
              const params = z.object({
                projectPath: z.string(),
                projectName: z.string(),
                teamSize: z.number().optional(),
                updateSchedule: z.enum(['daily', 'weekly', 'on-change', 'manual']).optional(),
                ide: z.enum(['cursor', 'vscode', 'intellij', 'all']).optional(),
                includeAll: z.boolean().optional(),
              }).parse(args);
              
              const result = await completeSetupWorkflow(params);
              return {
                content: [
                  {
                    type: 'text',
                    text: JSON.stringify(result, null, 2),
                  },
                ],
              };
            }
    
            default:
              throw new Error(`Unknown tool: ${name}`);
          }
        } catch (error) {
          throw new Error(`Tool execution failed: ${error}`);
        }
      });
    }
  • Tool definition including name, description, and input schema for validate_generated_code.
    {
      name: 'validate_generated_code',
      description: 'Validate generated code for patterns, security, and best practices',
      inputSchema: {
        type: 'object',
        properties: {
          code: {
            type: 'string',
            description: 'The generated code to validate',
          },
          type: {
            type: 'string',
            enum: ['component', 'function', 'service', 'test', 'config'],
            description: 'Type of code being validated',
          },
          targetFile: {
            type: 'string',
            description: 'Target file path for context',
          },
        },
        required: ['code', 'type'],
      },
    },
  • Zod schema used in the tool handler for input validation (note: uses 'context' instead of 'type').
    const params = z.object({
      code: z.string(),
      context: z.string(),
      targetFile: z.string().optional(),
    }).parse(args);
  • Type definition for the validation result returned by the handler.
    interface ValidationResult {
      valid: boolean;
      score: number; // 0-100
      issues: {
        severity: 'error' | 'warning' | 'info';
        category: string;
        message: string;
        line?: number;
        suggestion: string;
      }[];
      patterns: {
        followed: string[];
        violated: string[];
      };
    }

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