The server implements a single tool, ask_notion_question, which has a clear purpose but significant structural and documentation gaps. The tool definition is visible in the source code with an explicit @mcp.tool() decorator. However, the parameter schema is minimal (only 'question' with basic type), the description lacks critical details about behavior and side effects, and there is no documented output schema. The tool accepts a 'ctx' parameter which is internal to the MCP framework and should not be exposed in the tool schema. Error handling is present but recovery guidance is limited. Overall, this is a mediocre implementation typical of early-stage MCP servers.

• Define a formal JSON Schema for input: add minimum/maximum length for 'question', suggest a format constraint (e.g., 'natural language question, 1-500 characters'), and document any special syntax or keywords the underlying API expects
• Document the output schema explicitly in the tool description or as a separate schema declaration: specify that the response contains 'answer' (string), 'notion_page_url' (URI), and 'notion_page_id' (string), and note which fields may be empty
• Enhance the tool description to ~100-150 characters that answers: (1) What does this tool do? (2) When should the LLM use it? (3) What prerequisites are needed? Example: 'Search and retrieve answers from a Notion knowledge base. Use this to find documentation, FAQs, or reference material. Requires DIFY_API_BACKEND_KEY environment variable.'
• Rename the tool to a more specific verb_noun pair such as 'search_notion_knowledge_base' or 'retrieve_notion_answer', which makes the action clearer to the LLM
• Add per-parameter description for 'question' that specifies format, length limits, and examples of valid questions (but do not include literal example values the LLM will copy, use a format constraint instead)
• Improve error messages to be actionable: instead of 'API request failed: <raw error>', return 'Failed to query Notion API. Verify DIFY_API_BACKEND_KEY is set and the API endpoint is reachable. Consider retrying or checking the question format.'
• Implement a dry-run mode or suggest pagination if the 'answer' field can be very long, to prevent context window exhaustion

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry