Skip to main content
Glama

get_training_readiness

Retrieve your Training Readiness score and its contributing factors for any date to know whether your body is ready for a hard workout or needs rest.

Instructions

Get Garmin's Training Readiness score and contributing factors for the given date.

Args: date_str: Date as YYYY-MM-DD. Defaults to today.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_strNo

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states that the tool retrieves a score and contributing factors, but does not mention what happens when no data exists for the date, whether the request can fail, or any timezone/freshness considerations. The behavior is implied to be a read, but not explicitly disclosed.

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 front-loaded: the first sentence states the core purpose, and the Args section provides exactly the necessary parameter detail without redundancy. Every sentence earns its place.

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 tool with one optional parameter and no output schema, the description is mostly complete: it names the data being returned and documents the parameter. The main gap is the lack of behavior around missing data or invalid dates, but the tool's low complexity limits how much is needed.

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 for the only parameter, date_str, by specifying the required format (YYYY-MM-DD) and default behavior (defaults to today). This adds meaningful semantics beyond the bare schema type.

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 identifies the operation ('Get'), the specific resource ('Garmin's Training Readiness score and contributing factors'), and the scope ('for the given date'). It is distinct from sibling tools like get_hrv or get_body_battery because it names the exact metric being retrieved.

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 provided about when to use this tool versus alternatives, nor any context about prerequisites, limitations, or exclusions. The only usage hint is the optional date parameter, which is more parameter documentation than usage guidance.

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

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/sovnheim/garmin-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server