Server has 5 tools with basic schemas and descriptions, but significant quality gaps. All tools have descriptions (10-60 chars, mostly short) and input schemas with type definitions. However, descriptions are generic and lack LLM-optimization guidance. No output schemas documented. Parameters lack depth (no enums, ranges, or format constraints). Error handling is minimal, responses are unstructured dicts with generic 'error' or 'message' keys, offering no recovery guidance. No tool annotations (readOnlyHint/destructiveHint/idempotentHint). Naming is verb-forward but some tools lack clarity on side effects. This is typical community-server quality (C-range).

• Add explicit output schemas to all tools. E.g. check_book_availability should return {"title": string, "author": string, "available_copies": int, "total_copies": int} instead of a generic 'message' field.
• Enhance error responses with recovery hints. E.g. 'Book ID not found. Available books: book_001, book_002, book_003. Call list_books() for full catalog.' This guides LLM self-correction.
• Add tool annotations: mark borrow_book and return_book with destructiveHint=true; mark check_book_availability and get_borrowing_history with readOnlyHint=true. This enables agents to reason about side effects.
• Expand parameter descriptions with format and constraints. E.g. book_id: 'The unique book identifier (format: book_NNN, e.g. book_001). Use list_books() to discover valid IDs.'
• Add a list_books() tool to enable discovery. Currently, agents have no way to find valid book IDs without trial-and-error. This follows the discovery pattern and reduces failed calls.