The server defines 5 tools across two categories: 4 product-integrity tools (hardcoded in PRODUCT_TOOLS array) and 1 calculator tool (calc_uart_baud_rate, loaded dynamically). Product tools have clear, descriptive names following verb_noun convention and detailed descriptions (150 - 250 chars). All parameters are typed with descriptions. However, the calculator tool is referenced only in a smoke test file (scripts/smoke.mjs) and is not explicitly visible in the main source registration, it's inferred to exist through dynamic loading from /api/v1/tools. This creates ambiguity about its schema visibility at evaluation time. Output schemas are not documented in tool definitions, callers must infer response structure from descriptions alone. Error handling is basic (generic HTTP error messages). No tool annotations (readOnlyHint, destructiveHint) present. No pagination guidance in list/search tools despite potential for large result sets.

• Document response schemas for each tool. At minimum, describe the top-level structure (object vs array), key fields, and field types. Example: 'Returns { products: [{slug, name, score, category}], total_count, next_cursor }'.
• Add limit/per_page parameters to urdb_search and urdb_list_products with max bounds (e.g., max 100 results per call). Document default and maximum in the parameter description.
• Verify calc_uart_baud_rate schema at build time or move it to explicit registration in PRODUCT_TOOLS so it's statically verifiable. Dynamically loaded tools are difficult to audit.
• Add tool annotations: all five tools should declare readOnlyHint: true in their inputSchema to signal they do not modify state.
• Enhance error handling: wrap API errors with actionable guidance. E.g., 'Product slug "xyz" not found. Try urdb_search() first to find valid slugs.' instead of bare '404 Not Found'.
• Document URDB API dependencies and rate limits in server comments or README. Agents may retry aggressively, note any throttling behavior so operators can tune appropriately.