Skip to main content
Glama
flawas

Garmin Connect MCP Server

by flawas

profile

Retrieves Garmin Connect personal settings including weight, height, VO2max, lactate threshold, units, and heart rate zones for tailored training and wellness analysis.

Instructions

Profil-Einstellungen (Gewicht, Grösse, VO2max, Laktatschwelle, Einheiten) und Herzfrequenzzonen.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

C2.8/5.0
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 behavioral burden and does not meet it. It never states that this is a read operation, whether any authentication/user context is required, whether values are user-configured or computed, or what shape the response takes.

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?

A single compact sentence with no filler, and the most descriptive fields are listed first. It is under-specified rather than bloated, and the missing verb means the key information is not front-loaded.

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?

With no annotations, no output schema, and no parameters, everything an agent needs must come from the description, and it only enumerates field topics. It omits the operation type, return container, and whether heart-rate zones are editable settings or derived values.

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 schema has zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. The field list in the description usefully hints at what the returned object contains.

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

Purpose3/5

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

The description names the resource content precisely (weight, height, VO2max, lactate threshold, units, heart-rate zones), which no sibling tool covers. But it is a bare noun phrase with no verb, so an agent cannot tell whether this reads, writes, or configures the profile in the current environment.

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?

There is no statement of when to call this versus the many data-retrieval siblings (weight, fitness_age, heart_rate_day), nor any prerequisite or exclusion. The agent must infer that this is a profile/configuration resource rather than a time-series metric.

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