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JJRPF

Garmin MCP Server

by JJRPF

create_z2_walk_workout

Create a steady Zone 2 walking workout with target heart rate range and duration, then upload it directly to Garmin Connect.

Instructions

Create a steady Z2 walking workout and upload it to Garmin Connect.

Args: name: Workout name duration_min: Main walking block duration in minutes hr_min: Minimum heart rate in bpm (used for description; target is Z2) hr_max: Maximum heart rate in bpm (used for description; target is Z2)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
hr_maxYes
hr_minYes
duration_minYes

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 alone must convey behavioral implications. It mentions uploading to Garmin Connect, which implies a network mutation, but it does not disclose potential side effects (e.g., overwriting existing workouts), failure modes, or whether it modifies any existing data. The scope of the upload (e.g., to the user's account) is implicit.

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 concise and to the point, consisting of a single sentence and a clear list of parameters. It avoids unnecessary detail and is well-structured for quick comprehension.

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?

While the description covers the core purpose and parameter meanings, it lacks critical context for an agent to safely and correctly invoke the tool. Missing elements include usage conditions (when to prefer this over similar tools), side effects, error handling, and output expectations. Given that sibling tools such as create_walk_run_workout exist, the description does not help an agent disambiguate effectively.

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

Parameters3/5

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

The description adds brief meanings for each parameter: name (workout name), duration_min (duration in minutes), hr_min and hr_max (heart rate bounds, noting they are 'used for description; target is Z2'). It provides more than the bare schema (which has no descriptions), but lacks details such as accepted value ranges, default behavior if omitted (though all are required), or clarification of units beyond inference from the names.

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 clearly states the tool creates a steady Z2 walking workout and uploads it to Garmin Connect. This is specific and distinguishes it from other workout creation tools (e.g., create_run_workout) by specifying the type (walking) and the intensity target (Z2).

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

Usage Guidelines1/5

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

The description does not provide any guidance on when to use this tool versus alternatives like create_walk_run_workout or create_run_workout. It lacks conditional criteria (e.g., 'Use this for steady-state walking sessions') and does not mention any prerequisites or fallback scenarios.

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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