Zone Two
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to query live Garmin Connect health and fitness data, including daily metrics, activities, sleep analysis, and trends via natural language.MIT
- FlicenseNot gradedqualityDmaintenanceEnables querying your Garmin Connect data including recent activities, detailed metrics, and daily stats through natural language.-
- AlicenseNot gradedqualityDmaintenanceEnables listing, creating, editing, deleting, and scheduling structured workouts (run, cycle, swim, triathlon) on Garmin Connect via natural language.MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI assistants to access and query Garmin Connect health and fitness data, including sleep, HRV, training load, and activities, with an optional coaching plugin for personalized training plans.3 npm4-
- AlicenseNot gradedqualityFmaintenanceEnables creation, management, and scheduling of Garmin Connect workouts from natural language descriptions, plus viewing activities, calendar data, and weather information from completed workouts.30MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to retrieve and discuss personal fitness activities, training splits, heart-rate zones, and daily health metrics from a Garmin Connect account.MIT
TDQS
Scored across 35 tools
Each tool targets a distinct Garmin data source or action, and the metric tools are clearly separated by health domain. The main ambiguity risk is between rollups like garmin_briefing and garmin_daily_summary, and between activity list variants, but the descriptions are specific enough to resolve those.
The garmin_ prefix and snake_case style are consistent throughout. Reader tools use noun-ish names like garmin_hrv and garmin_steps while action tools use verb_noun names like create_workout and delete_workout; a few outliers like garmin_api_get and garmin_whoami break the pattern but are still predictable.
35 tools is well over the 25+ threshold and feels heavy for an agent to navigate, even though the domain is broad. Many health metrics and workout operations are legitimately distinct, but the surface would benefit from consolidation, such as grouping daily wellness metrics into fewer tools.
The set covers the core Garmin wellness and activity domains thoroughly: health metrics, activity history/detail, personal records, training status, and workout lifecycle management. Minor gaps exist, like no update_workout or activity deletion, but garmin_api_get provides a read-only escape hatch and the main workflows have no dead ends.