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health-os

health-os

by andronaft
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Python
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 36 tools

    Disambiguation4/5

    Most tools have clearly distinct clinical, nutritional, medication, lab, and habit scopes, and descriptions explicitly route between similar-looking tools such as query_food, query_nutrition, and nutrition_report. Some overlap remains among summary/report tools and the generic sql_query versus dedicated read tools, but an agent can usually select correctly.

    Naming Consistency4/5

    The set overwhelmingly uses consistent snake_case names, mostly with recognizable verb_noun patterns such as get_medications, record_habit, update_meal, and approve_staged_source. Minor deviations include noun-first names like nutrition_report, sql_query, and crisis_resources, but the convention is still predictable.

    Tool Count2/5

    With 36 tools, the set is large enough to impose significant selection overhead on an agent even for a broad health domain. Several read/report/summary tools could likely be consolidated or made more task-oriented without losing coverage.

    Completeness3/5

    Core workflows for meals, medications, habits, lab review, and reporting are well covered, but lifecycle gaps remain: allergies and diagnoses have create/read tools but no update/delete/correction tools. Visits, vaccinations, and hospitalizations appear in the timeline but have no obvious recording tools, which are notable omissions for a health OS.

    Maintenance

    ActivityActive
    ResponsivenessSyncing

    Resources