Server has 5 tools with clear verb-noun naming (create_waitlist, get_waitlist_stats, export_signups, check_position, list_waitlists). All tools have descriptions (avg 120 chars, within 10-1024 range). Input schemas are present with type definitions. However, parameter descriptions are minimal or missing in several tools (e.g., create_waitlist's color_theme lacks enum constraint documentation; check_position lacks format guidance for email). Output schemas are not formally documented, tools return JSON strings without declared field structures. Error handling is basic (returns JSON error objects but lacks recovery guidance or actionable next steps). No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite clear read/write semantics. Composition is sound, each tool has one responsibility and names are unambiguous.

• Add formal output schema documentation to each tool. Use JSON Schema or a structured comment block (e.g., 'Returns: {waitlist_id: int, slug: str, api_key: str, landing_page_url: str}') so LLMs know what fields to expect.
• Enumerate color_theme values in the parameter description: 'Theme for the landing page. Must be one of: minimal, gradient, dark, startup.' Replace the docstring example with a formal enum constraint.
• Add tool annotations via FastMCP: @mcp.tool(readOnlyHint=True) for get_waitlist_stats, export_signups, check_position, list_waitlists; @mcp.tool(destructiveHint=True) for create_waitlist. This signals to agents which tools are safe to retry.
• Enhance error messages with recovery guidance. E.g., 'Waitlist not found. Call list_waitlists() to see available IDs.' or 'Email not found on this waitlist. Check the spelling or call export_signups() to verify the email exists.'
• Add pagination to export_signups: accept offset and limit parameters (default limit=50, max=1000), return {total: int, signups: [...], has_more: bool}. This prevents context window exhaustion on large waitlists.