Single tool with minimal definition quality. The tool has a short, generic description (54 chars) that lacks context for when/why an LLM should use it. The schema is present but sparse, only one parameter with a generic description. No output schema is documented. No error handling guidance. The implementation shows hardcoded API credentials (critical security issue) and generic error messages that don't guide recovery. This server exemplifies poor definition quality: it works technically but provides little signal to an LLM about proper tool use, error recovery, or composition with other tools.

• Move API credentials to environment variables or a secure vault. Use configureApi() from api.ts at server startup. Example: const apiKey = process.env.DIFY_API_KEY; configureApi({ headers: { Authorization: `Bearer ${apiKey}` } });
• Expand tool description to 100 - 150 chars: 'Search the Mpx knowledge base to answer user questions. Call this when the user asks about Mpx features, syntax, or APIs. Returns the best matching answer from the documentation.'
• Document the output schema explicitly. Example: 'Returns a text response with the most relevant documentation excerpt. If no match found, returns "No relevant information found."'
• Add constraints to 'query' parameter: 'A natural-language question or keyword (1 - 500 chars). Examples: "CSS selectors", "RN output support". Be specific for better matches.'
• Enhance error messages with recovery hints. Instead of 'Error querying knowledge base: <error>', return 'Knowledge base temporarily unavailable. Please try again in a moment. If the problem persists, ask the user for clarification on their question.'
• If the Dify API supports result limits, add optional 'max_results' parameter (default 1, range 1 - 5) to cap output length and prevent context bloat.
• Add rate-limit handling: detect 429 responses and return 'Knowledge base is busy. Waiting before retry.' rather than a generic error.
• Consider splitting the tool if it handles multiple concerns (search + filtering). For example, if the API supports filtering by category/date, expose separate parameters with clear descriptions.