garmin-owl
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to access Garmin Connect fitness and health data, including activities, heart rate, sleep, and device information.MIT
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TDQS
Scored across 19 tools
Several tools share overlapping data: get_daily_summary, get_sleep, get_recovery, get_stress, and get_body_battery all surface similar health metrics, while get_recovery, get_training_readiness, get_training_context, and get_recovery_trend form a confusing recovery/readiness cluster. An agent would struggle to know which endpoint is authoritative for a given metric.
The vast majority of tools follow a consistent get_<resource> snake_case pattern, making the set predictable. The only clear deviation is compare_activities, which uses a verb-noun structure instead of a get_ prefix, but this is a minor inconsistency.
With 19 tools, the server sits in the slightly-heavy range for a data-retrieval API. Many are individually meaningful, but the recovery/readiness/trend cluster could likely be consolidated without losing capability.
The toolset provides broad coverage of Garmin health and training data: daily summaries, sleep, HRV, stress, body battery, activities, body composition, training load/zones/context, trends, and cycle data. No major dead-ends or obvious missing read operations are apparent for the stated domain.