The Knowledge Base MCP server provides 6 tools with generally clear naming and reasonable descriptions. Most tools follow verb-noun conventions (search_summaries, fetch_document, save_knowledge, list_categories, update_document, delete_document). Descriptions are present and substantive (range: 100-250 chars), explaining WHAT the tool does and WHEN to use it. However, critical gaps exist: (1) No tool annotations (readOnlyHint/destructiveHint/idempotentHint) despite having read-only, write, and destructive operations clearly labeled in risk metadata, this information should be in the tool schema itself; (2) Error handling descriptions are largely absent, tools describe happy paths but not failure modes or recovery guidance; (3) Output schemas are documented in toolkit.py dataclasses but not explicitly exposed in the tool definitions themselves; (4) Parameter descriptions lack some specificity around constraints (e.g., min_relevance is described as '0.0-1.0' but the description should note it filters results below the threshold, not above); (5) No confirmation mechanism for destructive operations (delete_document). The server follows good composition patterns, each tool does one thing, tool names are unambiguous, and responses should chain well. Naming is consistent and action-oriented. Average tool-level definition quality is adequate but not exemplary.

• Add tool annotations to the MCP server configuration. For each tool, add readOnlyHint=true for search_summaries, fetch_document, list_categories; add destructiveHint=true for delete_document; add idempotentHint=true for fetch_document and list_categories (they should be safe to retry). This makes safety intent explicit in the tool schema, not just in comments.
• Implement a confirmation mechanism for delete_document. Either split into delete_document + confirm_delete, or return a 'requires_confirmation' response with a confirmation_token that must be passed on retry. This prevents agent accidents.
• Enrich error handling in all tool descriptions. For search_summaries, add: 'If no results found, try broadening the query or lowering min_relevance. If query is empty, returns error with empty results.' For delete_document, add: 'Deletion is permanent and cannot be undone. Verify document_id before calling.' For save_knowledge, add: 'Returns immediately; file writing and summarization happen asynchronously. Check list_categories to confirm document was saved.'
• Document output schemas in the MCP tool definitions. For each tool, add an explicit 'Returns' section describing the response object structure. Example for search_summaries: 'Returns {success: bool, query: str, results_count: int, results: [{document_id: int, title: str, category: str, content: str, relevance_score: float}], error?: str}'
• Add explicit pagination guidance to search_summaries. Document that 'limit' defaults to 5 and caps at 50; explain that results are sorted by relevance_score descending. If the API supports cursor-based pagination, add a 'next_cursor' field to enable multi-page searches.

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

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