Trainbud
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TDQS
Scored across 15 tools
Most tools are clearly distinct, but some overlap exists between get_findings, get_recovery_status, get_training_insights, and get_week_review, which all return aggregated health/training metrics. Descriptions help clarify their specific focuses (anomalies vs. recovery score vs. weekly summary vs. week-over-week comparison), and get_latest_activity vs get_activities_range are distinct by scope. Overall, an agent can likely select the right tool with careful reading.
All tool names follow a consistent verb_noun pattern in snake_case: most start with 'get_' for retrieval, with a few action verbs (remember_context, compare_workouts, log_subjective) that are equally clear. No mixed conventions or vague names—every name is self-explanatory.
15 tools is at the upper end of the ideal range but well-scoped for a training assistant that combines user context, Garmin metrics, and comparative analysis. Each tool covers a distinct need, from retrieving raw data to high-level insights, without redundancy or bloat.
The surface covers the core lifecycle: user context (remember/get), subjective logging, comparisons, and a wide array of metric getters (sleep, HR, recovery, body comp, stress, VO2, activities). Minor gaps exist—no direct update/delete for context, and some overlapping insights—but these are not critical for the server's purpose and agents can work around them.