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JJRPF

Garmin MCP Server

by JJRPF

get_fitnessage_data

Retrieve fitness age for a specific date, with optional component breakdown including BMI, resting heart rate, and vigorous activity targets for improvement.

Instructions

Get fitness age data

Args: date: Date in YYYY-MM-DD format details: If True, include component breakdown (BMI, RHR, vigorous activity) with targets and improvement suggestions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYes
detailsNo

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

A3.7/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It does communicate that details=True returns component breakdown including BMI, RHR, and vigorous activity with targets and improvement suggestions, which is useful. However, it does not mention other behavioral aspects like data availability, errors, or default response shape beyond what the schema may imply.

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?

The description is compact and front-loaded: one clear purpose line followed by a concise Args block. Every sentence earns its place, with no filler or redundancy.

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

Completeness4/5

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

For a simple read-only tool with two parameters and an output schema, the description covers the essential input semantics and the conditional detail behavior. It lacks usage guidance and some behavioral context, but the tool is simple enough that this is a minor gap.

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 description coverage is 0%, but the description compensates fully by explaining the date format (YYYY-MM-DD) and the meaning of the details flag, including what components are returned. This adds significant value beyond the bare schema properties.

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 starts with 'Get fitness age data', a specific verb plus resource, which clearly identifies the tool's purpose. It is distinguishable from the many sibling get_* tools, though it does not elaborate on what 'fitness age data' encompasses.

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?

No guidance is given about when to use this tool versus alternatives such as get_body_composition, get_stats, or get_user_summary. The description only explains parameters, leaving the selection decision entirely to the agent.

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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