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Garmin Activity Series

garmin_activity_series
Read-onlyIdempotent

Get a downsampled time-series for one activity metric (heart rate, power, cadence, speed, elevation) capped at 500 points to fit context windows. Returns exact stats and the shape of the effort.

Instructions

Bounded time-series for one activity metric. Returns exact stats computed on full-resolution samples plus a downsampled series capped at 500 points, so a 3-hour ride at 1 Hz never blows the context window. Prefer garmin_get_activity / splits / hr_zones first; reach for this when you actually need the shape of the effort over time. GPS is never returned here.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesGarmin activity id.
metricNoWhich sample stream to shape. GPS is never available here; use privacy_mode escalation on garmin_get_activity_details instead.heart_rate
max_pointsNoPoint budget for the returned series. Server hard cap is 500.
response_formatNomarkdown
reference_max_hrNoReference max heart rate for zone math (reference_source=caller_provided). Without it, uses the activity row maxHR when available (activity_recorded_max), else the series observed max.
resolution_secondsNoRequested bucket width. Automatically increased when it would exceed max_points; the response reports what was actually used.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
unitYes
notesYes
statsYes
methodYes
metricYes
pointsYes
t_unitYes
start_timeNoAbsolute activity start (ISO 8601) when known. points[].t is relative to this.
activity_idYes
downsampledYes
data_qualityYes
time_in_zoneNo
source_pointsYes
returned_pointsYes
contract_versionYes
resolution_secondsYes
requested_resolution_secondsYes
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses key behavioral traits beyond the annotations: 'Returns exact stats computed on full-resolution samples plus a downsampled series capped at 500 points' and the context-window rationale ('never blows the context window'). It also reinforces the GPS exclusion. These details add genuine value beyond the readOnly/idempotent hints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, each earning its place: first states purpose, second explains behavior and rationale, third gives usage guidance and an exclusion. No filler, front-loaded with the core concept, and ends with a clear boundary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With a rich output schema, six parameters (most well-documented in the schema), and annotations covering safety, the description is complete. It explains the tool's purpose, when to use it, its output constraints (downsampling cap, no GPS), and the context-window benefit. No critical gaps remain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is high (83%) and the schema already explains most parameters. The description adds contextual meaning by framing the tool as a 'bounded time-series' and referencing the 500-point cap, which directly informs max_points and resolution_seconds semantics. That extra layer justifies a score above baseline.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb+resource: 'Bounded time-series for one activity metric.' It clearly distinguishes itself from siblings by name-dropping alternatives ('Prefer garmin_get_activity / splits / hr_zones first') and stating its unique value ('when you actually need the shape of the effort over time').

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when-to-use guidance is provided: 'Prefer garmin_get_activity / splits / hr_zones first; reach for this when you actually need the shape of the effort over time.' It also states a clear exclusion: 'GPS is never returned here.' This gives the agent actionable selection criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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