Server has 10 well-named tools with consistent verb_noun patterns (search, get_*, list_*). All tools have descriptions (avg ~120 chars, within baseline 34-392). Input schemas are present and typed with enums where appropriate (e.g., search type filter). However, output schemas are not documented, LLMs cannot predict response structure. Error handling is basic (suggestions on not-found, no recovery guidance). Parameters lack depth: search limit has min/max but others don't; descriptions are functional but not LLM-optimized per pattern:tool-description. No tool annotations (readOnlyHint, etc.). Overall solid foundation but missing production-grade polish.

• Add output schema documentation to all tools. Example: 'Returns: {results: [{name: string, description: string, category: string}], total: number}'. This enables LLMs to plan downstream operations.
• Enhance error messages with actionable recovery. Change 'Function not found. Use the search tool to find functions.' to 'Function not found. Try search(query="<partial name>", type="function") to find similar functions.'
• Add readOnlyHint: true to all tool schemas in MCP registration. This signals to agents that these tools are safe to call without confirmation.
• Expand parameter descriptions with constraints. E.g., 'query (string, 1-100 chars): Search term matching function/event names and descriptions. Case-insensitive.'
• Document list_categories and list_widgets return structure. Specify field names, types, and whether results are paginated or complete.