A
licenseNot graded
qualityD
maintenanceEnables AI assistants to access Garmin Connect fitness and health data, including activities, heart rate, sleep, and device information.
MIT
garmin-owl
by xichen-de
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TDQS
B3.2/5.0
Scored across 19 tools
Disambiguation3/5
The set contains several overlapping training-load/recovery tools: get_training_context, get_training_week, get_training_load, get_recovery_trend, get_recovery, and get_training_readiness all pull closely related fatigue/recovery data. While descriptions differentiate them somewhat, an agent could easily choose the wrong one. The activity listing tools (get_activities, get_recent_activities) are also somewhat redundant.
Naming Consistency5/5
Every tool follows a clean snake_case verb_noun pattern (get_*, compare_activities), with clear subjects like body_battery, training_load, recovery_trend. No camelCase or naming anomalies.
Tool Count4/5
19 tools is slightly heavy but reasonable for the breadth of Garmin health/training data covered. However, the overlap in recovery/training tools suggests some could be consolidated.
Completeness4/5
The surface covers a wide range of Garmin metrics: activities, sleep, stress, HRV, body composition, cycling, and training load. It is missing write operations (e.g., logging activities, setting goals) but for a read-only Garmin data server, coverage is strong.
Maintenance
ActivityActive
ResponsivenessNo issues