Semantic tools for Garmin Connect data access optimized for fitness, health, and coaching applications
Single tool server with a reasonably clear naming convention and action-verb prefix ('get_'). Description is present and adequately detailed (137 chars), addressing what the tool does and its purpose. However, the input schema lacks descriptions for the parameter, which is a critical gap. Output schema is not visible in the provided code, making it impossible to verify proper field documentation. The tool appears functional but falls short of production-grade standards due to missing parameter descriptions and undocumented output structure.
Get comprehensive daily health and activity overview optimized for coaching. Returns summarized metrics without raw time-series data to minimize token usage.
Input parameter 'date_str' lacks description in schema. Parameter descriptions are mandatory, LLMs cannot infer that this parameter controls which day's data is fetched. The description 'Date in YYYY-MM-DD format (defaults to today if not provided)' must appear in the schema definition itself, not only in the tool description.
Output schema is not visible in the provided source code. The tool description states 'Returns summarized metrics' but does not document the structure, field names, or types of the response. LLMs need explicit output schema documentation to plan downstream operations and extract the correct fields. Without it, agents cannot reliably parse or chain tool outputs.
No error handling documentation. The tool description does not explain what happens if the date_str is invalid, if the user has no Garmin data for that date, or if authentication fails. Error responses should guide the LLM on retry strategy and recovery options.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | C | 65 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 0 | - | v1 |
No pagination or limit controls visible. If the 'daily summary' can grow arbitrarily large (e.g., multiple activity sessions, detailed metrics), the tool should accept a 'limit' parameter to prevent token exhaustion and enforce reasonable result sizes.