The server defines 5 tools with consistent naming and basic descriptions. All tools follow a verb_noun pattern (get_runalyze_*) which is good for LLM parsing. However, definitions are incomplete: input schemas are minimal (most only have a 'page' parameter with basic type info), output schemas are entirely undocumented, descriptions are generic and lack usage guidance, and there is no visible error handling strategy. The integration test file reveals the tool exists and accepts parameters, but the actual tool implementation files are not provided, so schema validation is limited to what can be inferred. Parameter descriptions are present but sparse; no return type documentation is visible. This places the server in the 'fair to good' range with noticeable gaps.

• Document output schemas for all tools. Specify what fields (name, type, description) are returned. Example: 'Returns an array of activity objects, each with id (number), title (string), date_time (ISO 8601 string), distance (number, meters), duration (number, seconds), heart_rate_avg (number, bpm or null), ...'
• Enhance tool descriptions by adding usage context: 'Use this to retrieve ... when you need [specific use case]. Returns [key fields].' For example: 'Retrieve a list of running activities with performance metrics. Use this to analyze training history, find longest run, or calculate total distance. Returns pagination metadata and activity summaries.'
• Add description to the 'id' parameter in get-runalyze-activity-detail: 'The numeric activity ID to retrieve details for (integer, required). Obtain via get-runalyze-activities first.'
• Document pagination behavior for all paginated tools: 'page parameter starts at 1 (default). Each page returns [N] results. Total activities available via [field_name] in response. No more results when returned array is empty.'
• Add error handling guidance to tool descriptions or a separate error reference. State: 'On 401/403 errors, authentication token may be invalid or expired. On 404, activity/data may not exist. On 500, retry with exponential backoff.'
• Implement rate-limit documentation if the Runalyze API enforces rate limits. Specify: 'API rate limit is X requests per minute per token.'
• Consider adding parameter validation bounds. For example, document max page number or suggest a sensible limit query parameter for result count control.