Three tools with basic schemas and descriptions, but significant gaps in parameter documentation and output schema clarity. Tool names follow verb_noun convention (get_*, extract_*), which is good. However, descriptions lack actionable context for LLM selection, parameter descriptions are sparse or missing, and output schemas are not formally documented. No error handling guidance. The extract_library_signatures tool has complex logic but minimal parameter validation hints. Overall, this is a fair-to-poor implementation typical of community servers.

• Document output schemas for all three tools. E.g., get_project_dependencies returns {"dependencies": [string]}, a list of dependency strings. Include field types and explain what the LLM should do with the result.
• Add descriptions to all parameters in extract_library_signatures. Explain: what is search_term (function/class name substring?), when to set exact_match=true, and what max_results range is valid (e.g., 1-100).
• Enhance tool descriptions to answer WHEN to use each tool. E.g., 'Call this to discover what libraries are available in a project before extracting signatures.' This helps LLMs select the right tool.
• Add error recovery guidance. Instead of raising ValueError('pyproject.toml not found'), return a structured error like {"error": "pyproject.toml not found", "suggestion": "Verify project_path is correct and contains a pyproject.toml file."}
• Add input validation and bounds. Document that max_results must be 1-100, and validate in code. Return a clear error if an LLM passes an invalid value.

Inferred effective spec: 2026-07-28+.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry