Strong tool naming and descriptions. All 10 tools follow verb_noun convention (oura_get_*). Descriptions are detailed (150-250 chars), contextual use-case guidance is excellent ('Use for' clauses guide LLM selection). Input schemas are complete with types and descriptions. However, output schemas are not explicitly documented in the source, the tool descriptions hint at return fields but do not formally specify them. Error handling is basic (no recovery guidance visible). Parameter relationships (e.g., response_format enum values) are well-described. Overall, definitions are production-ready but lack formal output schema declarations.

• Add formal output schema declarations to all tool definitions. Example: `"output": {"type": "object", "properties": {"sleep_score": {"type": "integer", "description": "Sleep quality score 0-100"}, "duration_seconds": {"type": "integer"}}, ...}`. This enables LLMs to plan downstream calls and extract fields confidently.
• Enhance error descriptions with recovery guidance. Example: 'If start_date is before account creation date, the API returns 400 Bad Request, try moving the range forward or use defaults by omitting the parameter.'
• Standardize date parameter formats. Either use ISO 8601 datetime everywhere (preferred for UTC clarity) or YYYY-MM-DD everywhere. Add an explicit note in descriptions if the tool clips times to 00:00:00Z.
• Document oura_get_profile's composite behavior explicitly: 'Fetches user profile and ring info from two API endpoints. If ring info is unavailable, returns user profile only; if both fail, returns an error with instructions to check connection.'
• Add pagination guidance to tools that could return large result sets. oura_get_tags and oura_get_workouts may return many items, document result limits (if any) and mention that sorting/filtering is done server-side.
• Include unit clarity in descriptions. E.g., 'heart_rate in bpm', 'temperature in °C (relative to baseline)', 'steps as count', 'duration in seconds', currently implied but not explicit.