Three tools present (query_knowledge_hub, list_collections, get_document_summary), all READ_ONLY. Tool definitions are inferred from file names and directory structure rather than explicitly visible in source code. No input schemas, parameter descriptions, or output schemas are visible in the provided code sample. The server.py and bm25_indexer.py excerpts show infrastructure but not tool registration details. Descriptions, if they exist, are not shown. This is a critical gap, without seeing actual tool definitions, parameter types, and descriptions, quality cannot be assessed above 50 per the hard rules.

• Provide complete tool registration in protocol_handler.py or server.py showing all three tools with explicit input schemas (JSON Schema with type, description, required fields, enums for constrained values).
• Add 50 - 200 character descriptions for each tool explaining WHAT it does, WHEN to use it, and WHAT it returns. E.g., 'query_knowledge_hub: Search documents in a knowledge base by keyword or semantic similarity. Returns ranked results with chunk IDs, scores, and summaries.'
• Document output schemas for each tool. Specify field names, types, and whether results are paginated. Include total_count and next_cursor if results can exceed 50 items.
• Add parameter descriptions for all inputs. If query_knowledge_hub accepts 'query' and 'collection_id', describe each: 'query (string, required): Search text or semantic query. collection_id (string, optional): Limit search to this collection; omit to search all.'
• Add error handling guidance. E.g., 'If collection not found, returns error with available collections. If query is empty, returns validation error with example queries.'

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

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