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JJRPF

Garmin MCP Server

by JJRPF

get_stats_and_body

Retrieve daily stats and body composition metrics for a specified date from Garmin Connect. Input a date to get health and fitness data.

Instructions

Get stats and body composition data

Args: date: Date in YYYY-MM-DD format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Get', implying a read operation, but does not describe what stats are included, whether auth is required, what date range semantics apply, or any other runtime behavior. This is minimal but not contradictory.

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

Conciseness4/5

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

The description is short and front-loaded, with no filler or repeated schema information. The single line 'Get stats and body composition data' plus the date format note is efficient, though it leaves some ambiguity about scope.

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

Completeness2/5

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

Although there is an output schema and only one parameter, the description is incomplete for an agent choosing among many sibling tools. It never clarifies what 'stats' means, whether this returns both stats and body composition in one response, or why an agent should use this instead of get_stats or get_body_composition.

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 0%, so the description must compensate. It does so by specifying the exact date format 'YYYY-MM-DD', which is the most important semantic missing from the schema. For a single, clearly named parameter, this is adequate.

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

Purpose4/5

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

The description uses a clear verb ('Get') and names two concrete resources ('stats and body composition data'), so an agent can infer the basic operation. However, 'stats' is vague and the description does not distinguish this tool from the sibling tools get_stats and get_body_composition, which appear to cover overlapping resources.

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

Usage Guidelines2/5

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

The description provides no guidance on when to prefer this tool over get_stats, get_body_composition, or get_user_summary. It only states what the tool does and the date argument, with no when-to-use or when-not-to-use context.

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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