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get_max_metrics

Retrieve maximum fitness metrics like VO2max for any date range. Specify start and end dates to track peak performance trends.

Instructions

Get max-metric data (e.g. VO2max) over a date range.

Args: start_date: Start date as YYYY-MM-DD. Defaults to today. end_date: End date as YYYY-MM-DD. Defaults to start_date.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNo
start_dateNo

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral burden. The verb 'Get' implies a read operation and the date range is stated, but there is no mention of return shape, units, error behavior, or safety confirmation. It is minimally transparent but leaves notable gaps.

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 purpose is front-loaded in a single clear sentence, followed by a compact argument list. Every sentence adds value, and there is no redundant or vague filler.

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 two-optional-parameter getter, the description is largely complete: it states the resource and fully documents parameter semantics. However, since there is no output schema and no annotations, the description could say a bit more about what the returned max-metric data looks like.

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?

The schema provides only property names and null defaults, so the description adds critical meaning: it specifies YYYY-MM-DD format and clarifies effective defaults ('start_date defaults to today', 'end_date defaults to start_date'). This fully compensates for the 0% schema description coverage.

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 states a specific verb ('Get'), a distinct resource ('max-metric data'), an example ('VO2max'), and a date-range qualifier. This clearly distinguishes it from sibling get_* tools like get_heart_rate or get_daily_stats by naming a unique metric category.

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?

It clearly tells an agent when to use this tool: when max-metric data over a date range is needed. However, it does not explicitly mention alternatives or exclusion cases, 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.

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