The server defines 3 tools with READ_ONLY risk classification, but exhibits significant gaps in schema completeness, parameter descriptions, and output documentation. While tool names follow verb_noun conventions (query_*, list_*, get_*), the visible schema definitions lack comprehensive parameter descriptions, and there is no evidence of output schemas or error handling guidance. The server is early-stage (v0.1.0) and shows modularity in design, but does not meet production quality baselines for agent tool definition.

• Document complete output schemas for all three tools. For query_knowledge_hub, specify: returns array of {document_id, chunk_id, content, relevance_score, collection} with total count and next_cursor for pagination. For list_collections, specify: returns array of {collection_name, document_count, size_bytes, created_at}. For get_document_summary, specify: returns {document_id, summary, length_chars, source_url}.
• Add parameter constraints to query_knowledge_hub: 'top_k: integer, 1-100, defaults to 20'; 'collection: string, name of collection from list_collections(), optional defaults to first/primary collection'; 'enable_rerank: boolean, defaults to true (slower but higher quality); set to false for speed if documents are pre-ranked'.
• Add discovery hints to descriptions. E.g., query_knowledge_hub: 'Use list_collections() first to see available collections. Call this tool to retrieve ranked documents matching a query via hybrid search (dense embedding + BM25 keyword matching). Results are sorted by relevance score (descending). Optionally rerank with cross-encoder for higher quality.'
• Document error cases and recovery. E.g., 'If no results found, try: (1) broaden the query (remove rare terms), (2) check collection exists via list_collections(), (3) verify documents are indexed via get_document_summary().' For invalid document_id: 'Document not found. Use query_knowledge_hub() to search by text content or list_collections() to verify the collection exists.'
• Add per-parameter type annotations and constraints in schema. E.g., document_id: {type: 'string', pattern: '^[a-zA-Z0-9_-]+$', description: 'Unique document identifier returned by query_knowledge_hub(), format: alphanumeric + hyphens, length 1-128'}.

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

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