GraphSense MCP server has moderate definition quality with significant gaps. Four tools are defined with basic descriptions and input schemas, but descriptions are generic and lack actionable guidance for LLM selection. Parameter descriptions are present but minimal. Output schemas are not documented. Error handling guidance is absent. The tool set shows reasonable semantic cohesion (code analysis domain), but parameter constraints are loose and recovery paths are undefined. This is a typical community server with room for substantial improvement in production-readiness.

• Document the return schema for each tool as a JSON object with field names, types, and descriptions. E.g., similar_functions should return {functions: [{id: string, name: string, score: number, summary: string}, ...], total: number, hasMore: boolean}
• Convert narrative constraints to formal JSON Schema: for function_description, add minLength: 10, maxLength: 500, and pattern: '^[a-zA-Z0-9\s,\-.:()]+$' to prevent injection. For repositoryPath, add format: 'uri' or pattern: '^/' and add required in properties.
• Expand tool descriptions to 50-200 characters and answer: (1) What does it do? (2) When should I use it instead of similar_functions/function_callers/function_callees? (3) What does it return? Example: 'Find functions that call a specified function. Use this to trace callers in a dependency graph. Returns list of caller names, paths, and call sites. Requires analyze_codebase to have run first.'
• Add explicit dependency documentation. In function_callers and function_callees descriptions, add: 'Requires that analyze_codebase has been called with the same repositoryPath.' In similar_functions, note: 'Requires that embeddings have been generated via analyze_codebase.'
• Add pagination to similar_functions, function_callers, function_callees: include limit (1-100, default 20) and offset (default 0) parameters, and return {results: [...], total: number, hasMore: boolean} to prevent context overflow.
• Document error cases and recovery paths. E.g., if analyze_codebase fails on a file, return partial results showing which files succeeded/failed. If repositoryPath does not exist, return 'Repository not found at {path}. Verify the path is absolute and the repository exists.' If embeddings are missing, return 'Embeddings not available. Run analyze_codebase first.'