mcp_tool_search is a well-designed meta-tool with clear naming, comprehensive description, and complete input schema. The tool follows verb-noun convention (search_*) and includes proper parameter constraints (limit 1-50). Description (169 chars) explains WHAT, WHEN, and WHY. Input schema is properly typed with descriptions for both parameters. However, the tool is singular (only 1 tool exposed), limiting assessment breadth. Output schema is documented in code but not formally exposed in tool registration. Error handling and recovery guidance are absent from the visible definition.

• Add formal outputSchema to tool registration documenting ToolSearchMatch structure (name, server, description, inputSchema, score) and ToolSearchResult (query, matches[], poolSize). This enables LLMs to understand what fields to extract.
• Enhance description with error recovery: 'If no matches found, try broader search terms or call list_tools() to see all available tools. If query is empty, returns empty matches.'
• Document the promotion side-effect in description: 'Matched tools are promoted and will appear in subsequent list_tools() responses, reducing need for repeated searches.'
• Add example usage to description showing typical agent workflow: 'Agent: "I need to send an email." → search for "send email" → mcp_tool_search returns send_email tool → agent calls it.'
• Consider exposing tool annotations (readOnlyHint=true, idempotentHint=true) since mcp_tool_search is safe and repeatable.