This MCP server exposes 2 golf course lookup tools with minimal quality. Both tools have descriptions that are present but vague (11-31 chars), falling far below the 10-1024 character baseline for actionable descriptions. Input schemas are visible and properly typed, but parameter descriptions are sparse. Neither tool documents return structure or pagination. Error handling is minimal, responses are unstructured strings with basic error prefixes ('❌ Request failed'). No indication of output shape, field names, or how to chain results to other tools. The tool names follow verb_noun convention (GetTopCoursesByState, GetFeaturedByState), but the naming is verbose and C# PascalCase rather than snake_case, which is less friendly to LLM parsing. Output is free-form plaintext (course name and city joined by newlines), not structured JSON, forcing LLMs to parse unstructured text. No pagination support despite potential for large result sets. No validation of 'state' parameter (should document valid US state codes). The 'top' parameter in GetFeaturedByState uses double type instead of integer, which is a schema smell. Descriptions lack actionable context: 'Get fetured golf courses by state' (typo included) tells an LLM nothing about when to choose this over GetTopCoursesByState. Security is adequate (read-only operations, no secrets), but the overall definition quality is well below production baseline.

• Expand tool descriptions to 50-200 characters with actionable context. Example: 'Get top-rated golf courses (Tier I - II) in a US state. Returns 10 - 50 results. Use this to find championship-level courses. If you need featured/trending courses, use GetFeaturedByState instead.' This tells the LLM what the tool does, what it returns, and when to choose it.
• Add parameter descriptions that specify constraints. For 'state', use: 'US state code (2 letters: AL, AK, AZ, ..., WY). Required.' For 'top' in GetFeaturedByState, use: 'Number of courses to return. Must be an integer between 1 and 100. Defaults to 10.'
• Constrain 'state' parameter to an enum of valid US state codes in the schema. This prevents invalid API calls and self-documents valid inputs for the LLM.
• Change 'top' parameter from double to integer with min: 1, max: 100, default: 10. Update description to clarify the bound.
• Return structured JSON instead of plaintext. Example response: { 'courses': [ { 'name': 'Pebble Beach', 'city': 'Monterey', 'state': 'CA', 'tier': 'I' }, ... ], 'total': 42, 'limit': 10, 'offset': 0 }. Document this schema in the tool description.
• Add pagination: accept 'offset' and 'limit' parameters (default limit=10, max=50). Return a response with 'total' count and 'next_offset' for continuation. This prevents context window exhaustion.
• Improve error messages to be actionable. Instead of '❌ Request failed: 404', return: 'No courses found for state "XX". Valid states: AL, AK, AZ, ... Try a different state or call GetFeaturedByState() for trending courses nationwide.' This guides the LLM's next step.