Single tool (search_docs) with well-formed schema and reasonable parameter structure. Tool naming follows verb_noun convention (search_docs). Description is present and action-oriented but relatively brief (116 chars). Input schema is properly typed with object properties, required fields, and enum constraints. However, output schema is not documented in source code, only described in prose ('Returns relevant documentation chunks with AI-generated summary'). Parameter descriptions are present and specific. No error handling guidance visible in source. Tool is READ_ONLY which is positive for safety. Overall demonstrates competent baseline definition quality but lacks output schema documentation and error recovery patterns that would elevate to 70+.

• Document the output schema explicitly. Example: 'Returns an object with fields: {chunks: [{doc_title: string, category: string, text: string, score: number, header_path: string[]}], total_matched: number, summary: string}'. This enables downstream tool chaining and LLM planning.
• Add error handling guidance to tool description or implement structured error responses. E.g., 'If no results match the query, tool returns empty_results error. If embedding service is unavailable, returns service_unavailable with retry_after. If index is not built, returns index_not_found, run index_builder CLI first.'
• Expand tool description to 150-200 chars with WHEN context: 'Search the pre-indexed documentation repository for answers to questions. Use this tool when the user asks how-to questions, needs code examples, or seeks best practices. The index covers backend, frontend, and engineering standards.'
• Clarify category enum values in the parameter description: 'Optional category filter to narrow results. Valid: backend (server/API docs), frontend (UI/web client docs), eng-style (code style guide), start-here (onboarding guide), task-management (project workflow), packages (dependency docs), root (general info).'
• Add min/max constraints for top_k parameter: 'Number of chunks to retrieve. Must be between 1 and 50 (default: 5). Higher values return more results but increase token cost.'
• Implement pagination or result limits in the response. If result set can be large, add next_cursor or offset field to support paginated retrieval.

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

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