Apple Health MCP
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TDQS
Scored across 18 tools
Each tool has a clearly distinct purpose, from listing records and workouts to summaries, profile management, and meta-inspection (privacy audit, capabilities, freshness). Even closely related tools like quickstart and onboarding are differentiated: quickstart is a 3-step setup walkthrough, while onboarding is an 11-question flow paired with profile updates. No two tools appear to do the same thing.
All tools share the 'apple_health_' prefix and snake_case convention, creating a strong recognizable pattern. However, there is a mix of verb_noun names (list_records, profile_get, clear_incremental_cache) and noun-only names (capabilities, quickstart, demo, export_freshness), which breaks strict consistency but remains predictable and readable.
18 tools is on the high end of the acceptable range for a health data connector, but each tool addresses a distinct aspect of the domain—setup, status, privacy, data listing, summaries, profiles, cache management, and reimport. The count feels justified given the breadth of functionality, though it could be streamlined by consolidating some meta/status tools.
The tool surface covers the core lifecycle of working with Apple Health export data: onboarding, listing, summaries, wellness context, profile management, freshness checks, and cache/reimport operations. Minor gaps exist (e.g., no direct tool for specific metric queries like heart rate or steps beyond list_records with filters), but agents can achieve these via the available tools. Overall, it supports the primary workflows without dead ends.