Single tool 'search_docs' has a well-structured schema with proper types, enums, and defaults. Description is clear and actionable (186 chars), exceeding the 10-char minimum. All four parameters are typed and described. However, the tool lacks error handling guidance, output schema documentation, and security considerations. The note about 'Code examples may have lost indentation' signals a known data quality issue but offers no recovery path for the LLM. No tool annotations (readOnlyHint, etc.) present. Naming is verb-forward and clear. Overall solid foundation but missing production-grade error recovery and output documentation.

• Document output schema: 'Returns array of {chunk_text: string, similarity_score: number (0-1), source_file: string, doc_type: string}. Always returns ≤max_results items.'
• Add error recovery guidance: 'If results have formatting issues, manually indent Clarion code blocks (MAP, LOOP, etc.) or call a code_formatter tool if available.'
• Add tool annotations to schema: readOnlyHint=true, idempotentHint=true to signal retry safety.
• Clarify min_score in description: 'Similarity threshold (0.0 - 1.0). Typical range: 0.3 - 0.7. Lower values return more results but lower relevance.'
• Add pagination hint: 'Results capped at max_results. For exhaustive search, iterate with different queries or lower min_score.'
• Document what 'similarity_score' means: 'Cosine similarity of query embedding to chunk embedding (1.0=perfect match, 0.0=no match).'
• Add example output in description or separate documentation to show LLM what to expect.

Inferred effective spec: <=2025-11-25.

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