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robcerda

Oura MCP Server

by robcerda

get_vo2_max

Retrieve VO2 max (cardio capacity) estimates in ml/kg/min for a date range, with optional pagination token for large datasets.

Instructions

Get VO2 max (cardio capacity) estimates in ml/kg/min. Updated infrequently.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNoLast day to include (inclusive), YYYY-MM-DD. Defaults to today.
next_tokenNoContinue a truncated result: pass the next_token from the previous response along with the same dates.
start_dateNoFirst day to include, YYYY-MM-DD. Defaults to 6 days before end_date.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the burden for behavioral disclosure. 'Updated infrequently' is a useful freshness caveat, but the description does not mention authentication, pagination behavior, or the possibility of missing data, leaving meaningful 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 description is two short sentences with no redundant filler. It front-loads the core purpose and immediately follows with the one key behavioral caveat, making every word useful.

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?

Given the simple read-only nature, fully documented optional parameters, and an output schema, the description plus schema is nearly sufficient. The main missing piece is explicit routing guidance relative to siblings, but the core invocation details are covered.

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?

Schema coverage is 100%, so the parameters (start_date, end_date, next_token) are fully documented in the schema. The description does not add parameter-specific meaning beyond the metric's units, so it stays at the schema-driven baseline.

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 specifies an exact verb and resource: 'Get VO2 max (cardio capacity) estimates in ml/kg/min'. The units and parenthetical make the metric unambiguous and set it apart from sibling tools like get_daily_cardiovascular_age.

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 guidance on when to use this tool versus alternatives, and no explicit when-not-to-use conditions. 'Updated infrequently' hints at freshness constraints but does not direct the agent to a better tool or explain when this tool is appropriate.

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