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validate_diataxis_content

Validate Diataxis documentation for accuracy, completeness, and compliance with standards, including code examples and context-aware analysis.

Instructions

Validate the accuracy, completeness, and compliance of generated Diataxis documentation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentPathYesPath to the documentation directory to validate
analysisIdNoOptional repository analysis ID for context-aware validation
validationTypeNoType of validation: accuracy, completeness, compliance, or allall
includeCodeValidationNoWhether to validate code examples
confidenceNoValidation confidence level: strict, moderate, or permissivemoderate

Implementation Reference

  • Tool definition with input schema for parameters: contentPath (required), analysisId, validationType, includeCodeValidation, confidence.
    export const validateDiataxisContent: Tool = {
      name: "validate_diataxis_content",
      description:
        "Validate the accuracy, completeness, and compliance of generated Diataxis documentation",
      inputSchema: {
        type: "object",
        properties: {
          contentPath: {
            type: "string",
            description: "Path to the documentation directory to validate",
          },
          analysisId: {
            type: "string",
            description:
              "Optional repository analysis ID for context-aware validation",
          },
          validationType: {
            type: "string",
            enum: ["accuracy", "completeness", "compliance", "all"],
            default: "all",
            description: "Type of validation to perform",
          },
          includeCodeValidation: {
            type: "boolean",
            default: true,
            description: "Whether to validate code examples for correctness",
          },
          confidence: {
            type: "string",
            enum: ["strict", "moderate", "permissive"],
            default: "moderate",
            description:
              "Validation confidence level - stricter levels catch more issues",
          },
        },
        required: ["contentPath"],
      },
    };
  • Primary handler function that executes the tool. Instantiates ContentAccuracyValidator, calls validateContent with timeout protection, handles errors, and returns ValidationResult.
    export async function handleValidateDiataxisContent(
      args: any,
      context?: any,
    ): Promise<ValidationResult> {
      await context?.info?.("πŸ” Starting Diataxis content validation...");
    
      const validator = new ContentAccuracyValidator();
    
      // Add timeout protection to prevent infinite hangs
      const timeoutMs = 120000; // 2 minutes
      let timeoutHandle: NodeJS.Timeout;
      const timeoutPromise = new Promise<ValidationResult>((_, reject) => {
        timeoutHandle = setTimeout(() => {
          reject(
            new Error(
              `Validation timed out after ${
                timeoutMs / 1000
              } seconds. This may be due to a large directory structure. Try validating a smaller subset or specific directory.`,
            ),
          );
        }, timeoutMs);
      });
    
      const validationPromise = validator.validateContent(args, context);
    
      try {
        const result = await Promise.race([validationPromise, timeoutPromise]);
        clearTimeout(timeoutHandle!);
        return result;
      } catch (error: any) {
        clearTimeout(timeoutHandle!);
        // Return a partial result with error information
        return {
          success: false,
          confidence: {
            overall: 0,
            breakdown: {
              technologyDetection: 0,
              frameworkVersionAccuracy: 0,
              codeExampleRelevance: 0,
              architecturalAssumptions: 0,
              businessContextAlignment: 0,
            },
            riskFactors: [
              {
                type: "high",
                category: "validation",
                description: "Validation process failed or timed out",
                impact: "Unable to complete content validation",
                mitigation:
                  "Try validating a smaller directory or specific subset of files",
              },
            ],
          },
          issues: [],
          uncertainties: [],
          recommendations: [
            "Validation failed or timed out",
            "Consider validating smaller directory subsets",
            "Check for very large files or deep directory structures",
            `Error: ${error.message}`,
          ],
          nextSteps: [
            "Verify the content path is correct and accessible",
            "Try validating specific subdirectories instead of the entire project",
            "Check for circular symlinks or very deep directory structures",
          ],
        };
      }
    }
  • Core validation orchestration method in ContentAccuracyValidator class. Performs accuracy, completeness, compliance (including Diataxis), and code validation; calculates confidence metrics; generates recommendations.
    async validateContent(
      options: ValidationOptions,
      context?: any,
    ): Promise<ValidationResult> {
      if (context?.meta?.progressToken) {
        await context.meta.reportProgress?.({ progress: 0, total: 100 });
      }
    
      const result: ValidationResult = {
        success: false,
        confidence: this.initializeConfidenceMetrics(),
        issues: [],
        uncertainties: [],
        recommendations: [],
        nextSteps: [],
      };
    
      // Load project context if analysis ID provided
      if (options.analysisId) {
        await context?.info?.("πŸ“Š Loading project context...");
        this.projectContext = await this.loadProjectContext(options.analysisId);
      }
    
      if (context?.meta?.progressToken) {
        await context.meta.reportProgress?.({ progress: 20, total: 100 });
      }
    
      // Determine if we should analyze application code vs documentation
      await context?.info?.("πŸ”Ž Analyzing content type...");
      const isApplicationValidation = await this.shouldAnalyzeApplicationCode(
        options.contentPath,
      );
    
      if (context?.meta?.progressToken) {
        await context.meta.reportProgress?.({ progress: 40, total: 100 });
      }
    
      // Perform different types of validation based on request
      if (
        options.validationType === "all" ||
        options.validationType === "accuracy"
      ) {
        await this.validateAccuracy(options.contentPath, result);
      }
    
      if (
        options.validationType === "all" ||
        options.validationType === "completeness"
      ) {
        await this.validateCompleteness(options.contentPath, result);
      }
    
      if (
        options.validationType === "all" ||
        options.validationType === "compliance"
      ) {
        if (isApplicationValidation) {
          await this.validateApplicationStructureCompliance(
            options.contentPath,
            result,
          );
        } else {
          await this.validateDiataxisCompliance(options.contentPath, result);
        }
      }
    
      // Code validation if requested
      if (options.includeCodeValidation) {
        result.codeValidation = await this.validateCodeExamples(
          options.contentPath,
        );
        // Set code example relevance confidence based on code validation results
        if (result.codeValidation) {
          const successRate =
            result.codeValidation.exampleResults.length > 0
              ? result.codeValidation.exampleResults.filter(
                  (e) => e.compilationSuccess,
                ).length / result.codeValidation.exampleResults.length
              : 1;
          result.confidence.breakdown.codeExampleRelevance = Math.round(
            successRate * 100,
          );
        }
      } else {
        // If code validation is skipped, assume reasonable confidence
        result.confidence.breakdown.codeExampleRelevance = 75;
      }
    
      // Set framework version accuracy based on technology detection confidence
      result.confidence.breakdown.frameworkVersionAccuracy = Math.min(
        90,
        result.confidence.breakdown.technologyDetection + 10,
      );
    
      // Set architectural assumptions confidence based on file structure and content analysis
      const filesAnalyzed = await this.getMarkdownFiles(options.contentPath);
      const hasStructuredContent = filesAnalyzed.length > 3; // Basic heuristic
      result.confidence.breakdown.architecturalAssumptions = hasStructuredContent
        ? 80
        : 60;
    
      // Calculate overall confidence and success
      this.calculateOverallMetrics(result);
    
      // Generate recommendations and next steps
      this.generateRecommendations(result, options);
    
      if (context?.meta?.progressToken) {
        await context.meta.reportProgress?.({ progress: 100, total: 100 });
      }
    
      const status = result.success ? "PASSED" : "ISSUES FOUND";
      await context?.info?.(
        `βœ… Validation complete! Status: ${status} (${result.confidence.overall}% confidence, ${result.issues.length} issue(s))`,
      );
    
      return result;
    }
  • Diataxis-specific compliance validation: checks markdown files against Diataxis section rules (tutorials, how-to, reference, explanation).
    private async validateDiataxisCompliance(
      contentPath: string,
      result: ValidationResult,
    ): Promise<void> {
      const files = await this.getMarkdownFiles(contentPath);
    
      for (const file of files) {
        const content = await fs.readFile(file, "utf-8");
        const section = this.identifyDiataxisSection(file);
    
        if (section) {
          await this.checkSectionCompliance(file, content, section, result);
        }
      }
    }
  • Export of the Tool object which serves as the registration point for the MCP tool.
    export const validateDiataxisContent: Tool = {
      name: "validate_diataxis_content",
      description:
        "Validate the accuracy, completeness, and compliance of generated Diataxis documentation",
      inputSchema: {
        type: "object",
        properties: {
          contentPath: {
            type: "string",
            description: "Path to the documentation directory to validate",
          },
          analysisId: {
            type: "string",
            description:
              "Optional repository analysis ID for context-aware validation",
          },
          validationType: {
            type: "string",
            enum: ["accuracy", "completeness", "compliance", "all"],
            default: "all",
            description: "Type of validation to perform",
          },
          includeCodeValidation: {
            type: "boolean",
            default: true,
            description: "Whether to validate code examples for correctness",
          },
          confidence: {
            type: "string",
            enum: ["strict", "moderate", "permissive"],
            default: "moderate",
            description:
              "Validation confidence level - stricter levels catch more issues",
          },
        },
        required: ["contentPath"],
      },
    };

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