This server implements a single tool with a partially defined schema and weak parameter descriptions. The tool name follows verb-noun convention but lacks critical guardrails for production use. No error handling, no pagination support, no output schema documentation, and no input validation. The schema visible in code shows basic structure but lacks depth in descriptions and constraint documentation. This is a STDIO-only prototype with minimal production readiness.

• Implement as a true MCP server with proper tool registration, capabilities negotiation, and Streamable HTTP transport. The current code is a Python library, not an MCP endpoint.
• Document the complete output schema: { llms_txt_content: string, status: enum[valid_llms_txt, validation_error], error?: string, error_details?: object }. Include field descriptions and allowed values.
• Expand tool description to 100-150 characters. Example: 'Generates structured llms.txt metadata from site information and documentation links. Use this to create AI-readable discovery files. Returns markdown-formatted llms.txt content ready for deployment.'
• Add explicit constraints to parameters: site_name (required, 1-256 chars, no leading/trailing whitespace), site_description (required, 10-1024 chars), key_pages (required, array of 1-100 items, each with title: 1-200 chars, url: valid path or absolute URI).
• Implement input validation with specific error messages. Example: 'key_pages array is empty, provide at least one documentation page with title and url fields.'
• Add per-item validation for key_pages. Check that each object has 'title' and 'url' properties; reject objects missing either field with details on which item failed and why.
• Implement a dry-run or preview mode. Add an optional 'preview: boolean' parameter that returns the generated llms.txt content without persisting or processing it, allowing LLMs to verify output before committing.
• Return structured error responses with actionable guidance. Example error: { status: 'validation_error', error: 'Invalid URL in key_pages[1]', error_details: { index: 1, url: '/docs/checkout', reason: 'Must be a valid file path or absolute URI', suggestion: 'Try: /docs/checkout.md or https://api.example.com/docs/checkout' } }