All three tools have well-formed input schemas with proper types and descriptions, meeting baseline requirements. However, tool descriptions are generic placeholders (e.g., 'Comprehensive context enrichment using multi-agent system') that lack actionable guidance on WHEN to use each tool or HOW they differ. Parameter descriptions are present but minimal. Most critically, the implementation is entirely stubbed with TODO comments, no actual functionality exists. Output schemas are not documented. Error handling returns generic placeholder text rather than actionable recovery guidance. The server is in early alpha (v0.1.0-alpha.2) and not production-ready.

• Implement actual tool logic. Replace all TODO comments and placeholder responses with real implementations. At minimum, detect_topic should use the 'natural' or 'compromise' NLP libraries already in dependencies; search_history should query the vector store; enrich_context should orchestrate the other two.
• Expand tool descriptions to 100-200 characters each, explaining WHEN to use each tool and how they differ. E.g., 'enrich_context: Gather comprehensive background on a topic from web, memory, and tools. Use when you need deep context before answering. detect_topic: Classify text into predefined categories. Use to route queries or understand intent. search_history: Find past conversations or context matching a query. Use to avoid repeating work or find related discussions.'
• Document output schemas explicitly. Specify whether enrich_context returns structured JSON (e.g., {sources: [{title, url, summary}], topics: [...]}) or markdown text. Include example outputs in JSDoc comments.
• Enhance error handling with categorization and recovery guidance. E.g., 'Query too broad (>100 words). Try: (1) narrow the query, (2) increase depth parameter, or (3) specify sources. Retryable: yes.'
• Add parameter constraints and guidance. E.g., 'depth: basic (fast, <5s), detailed (balanced, ~10s), comprehensive (thorough, ~30s). Default: detailed.' and 'similarity: 0.0-1.0, where 0.8+ means very similar. Lower values return more results but lower relevance.'

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

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