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get_stats_and_body

Retrieve daily activity stats combined with body composition metrics (weight, BMI, body fat) for any calendar date. Get a complete health snapshot in one call.

Instructions

Daily stats merged with body composition (weight, BMI, body fat) for a date.

Args: date: Calendar date in YYYY-MM-DD format. Defaults to today.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoCompacted Garmin payload; null if unavailable.
noteNoExplains missing data or truncation.
paramsNoParameters used.
sourceYesGarmin Connect API method the data came from.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.6/5.0
Behavior4/5

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

No annotations are present, so the description carries the full burden. It discloses the response content (daily stats merged with body composition dimensions) and the default-date behaviorی. It stops short of mentioning edge cases like missing data or error responses, but for a simple read-only getter this is adequate.

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?

Two compact sentences: the first front-loads the tool's purpose, the second documents the sole parameter. No filler or redundant restatement of the tool name.

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 only one optional parameter and an output schema present, the description fully covers what an agent needs to invoke the tool correctly. The date format and default behavior are explicit, and the return semantics are captured by the output schema rather than requiring explanation in prose.

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

Parameters5/5

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

Schema coverage is 0% and the schema only defines an optional string/null date. The description adds critical meaning: the date must be in YYYY-MM-DD format, represents a calendar date, and defaults to today. This fully compensates for the schema's lack of detail.

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 states a specific verb (get), a clear resource ('daily stats merged with body composition'), and enumerates the exact fields (weight, BMI, body fat). This distinguishes it from siblings like get_body_composition and get_steps_and_calories by emphasizing the merged nature.

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

Usage Guidelines4/5

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

The description gives clear context: use this to retrieve day-specific merged stats and body composition, with a default to today. It does not name alternatives or state when not to use it, but the merged-data framing makes the intended use case evident among the many sibling getter tools.

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