Skip to main content
Glama
pedrokehl

Garmin Connect MCP

by pedrokehl

Get user profile settings

garmin_get_user_settings
Read-onlyIdempotent

Retrieve the user's Garmin Connect preferences—time zone, measurement units, date/time formats, and display settings—to determine local 'today' and correct units before reading health data.

Instructions

Get the user's Garmin Connect settings: displayName, timeZone, preferredLocale, measurementSystem (metric/statute), first day of week, date/time/number formats, heart rate and power display formats, hydration and glucose units, golf units, wheelchair mode and preferred training days. Call this first to learn the user's time zone (so you know what "today" is) and preferred units.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds real value beyond that by disclosing the concrete payload contents and positioning the call as a prerequisite for time-zone- and unit-sensitive queries. It does not mention auth requirements or whether all fields are always populated.

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?

Front-loaded with the purpose, followed by a dense but purposeful field enumeration and one actionable usage sentence. The long comma list of settings is slightly heavy, but since there is no output schema it is doing necessary work rather than padding.

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?

With no output schema, the description compensates by naming the returned settings fields, which is exactly what an agent needs to decide whether to call it and how to use the result. Minor gaps remain around failure modes and guarantee of field presence, but nothing essential is missing for a zero-arg read.

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?

The tool takes zero parameters, so there is no parameter semantics gap to close; baseline for 0 params is 4. The description correctly spends its space on return-value scope instead of inventing argument 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?

Uses a specific verb+resource ('Get the user's Garmin Connect settings') and then enumerates the concrete fields returned, so an agent knows exactly what comes back. It is clearly distinct from every sibling, which all retrieve activity or wellness metrics rather than account-level configuration.

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?

Explicitly directs the agent to 'Call this first to learn the user's time zone ... and preferred units', giving a concrete ordering rule and rationale tied to interpreting 'today'. It does not state when-not to use it or name any alternative, so it stops short of full routing guidance.

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