google-health-mcp
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TDQS
Scored across 19 tools
Each tool maps to a distinct resource or action: one sync tool, one trends aggregator, one device listing, a lifetime stats tool, and one getter per health metric. Potentially confusable pairs (skin vs core temperature, ECG vs irregular rhythm, HRV vs heart rate) are explicitly cross-referenced and differentiated in their descriptions.
All data retrieval tools follow the consistent health_get_<metric> pattern, with health_sync and health_trends as clear verb-based operations sharing the same health_ prefix. The naming scheme is uniform and predictable across the entire set.
At 19 tools, the set is slightly above the typical well-scoped range, but the breadth of the health domain justifies one getter per metric plus sync/trends/devices/lifetime support tools. No tool feels redundant; a few metrics could theoretically be combined but separate getters genuinely aid discoverability.
The tool surface covers all data types mentioned in health_sync and health_trends, providing per-metric getters, aggregation via trends, lifetime records, device context, and cache management. As a read-only health data server, the lifecycle is inherently covered; no obvious gap such as a missing metric or dead-end workflow exists.