The server provides 3 tools with basic structure and some documentation, but falls significantly short of production-grade quality. Tool naming is adequate (verb-noun format), but parameter descriptions are inconsistent and often missing. Input schemas are present but lack rigor in validation constraints. Output schemas are not documented. Error handling is minimal. The server implements a READ_ONLY RAG interface with no state-modifying operations, which reduces risk but also limits usefulness.

• Document complete output schemas for all three tools. Include example JSON, field types, and nested structure. For query_knowledge_hub, specify: [{chunk_id: string, content: string, score: number, source: string}, ...]. For list_collections, specify: [{name: string, doc_count: int, size_bytes: int}, ...].
• Add min/max bounds to top_k parameter: 'Maximum number of results to return (1-100, default 20)'. Prevents LLM from requesting massive result sets.
• Introduce enum constraint for collection parameter. Instead of free-form string, offer: collection (enum of valid collection names, or call list_collections first). This self-documents available options.
• Expand parameter descriptions. For use_rerank: 'Apply semantic reranking to hybrid search results. Slower but improves relevance when exact match is poor. Default: false.' For chunk_id: 'The unique identifier of the chunk returned by query_knowledge_hub, in format UUID (e.g. 550e8400-e29b-41d4-a716-446655440000).'
• Add error handling: 'If collection not found: returns {error: "collection_not_found", available_collections: [list]}. Call list_collections() to discover valid names.' Similar for 'no_results_found', 'invalid_chunk_id'.
• Document sensible defaults: 'If top_k is omitted, returns top 20 results. If collection is omitted, searches the default knowledge base.'
• Clarify tool purpose in descriptions: 'Use query_knowledge_hub for semantic search. Use list_collections first to discover available knowledge bases. Use get_document_summary to fetch full context for a specific chunk returned by query_knowledge_hub.'

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

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