Check whether the server holds valid Google Health credentials.

Call this first if any other tool returns a not_authorized error.

List every readable data type, with the ones a Fitbit Air produces flagged.

Google Health profile, unit/timezone settings, and paired devices with sync state.

Read raw data points for one data type over a date range (YYYY-MM-DD, inclusive).

reconcile=True returns Google's merged cross-source stream (tracker + phone + manual entries deduplicated), which is almost always what you want.

This is the low-level escape hatch. For daily questions prefer health_daily or health_daily_brief - a single day of heart-rate can be 1440 points.

Daily aggregate for one data type over a date range (YYYY-MM-DD, inclusive).

Uses civil-day rollups, so days align to your local calendar rather than UTC.

One-call snapshot of a single day: sleep, resting HR, HRV, SpO2, breathing rate, skin temperature, steps and active zone minutes, each compared against your own trailing baseline.

This is the right first call for "how am I doing today". Defaults to today.

Week-over-week trend for one metric: weekly means, direction, and the change from the first week to the most recent.

Use this to answer "is my sleep actually getting worse" rather than reacting to a single bad night.

Recovery readiness for a day: HRV, resting HR, breathing rate and SpO2 each scored against your personal baseline, plus rolling sleep debt, combined into a train / hold / rest call with the reasoning shown.

Returns confidence and missing_inputs so you can tell a real signal from thin data. Informational only, not a medical assessment.

Scan recent days for metrics that moved more than threshold standard deviations from your own trailing baseline.

Surfaces the handful of days worth talking about instead of a wall of numbers.