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List workouts

list_workouts
Read-onlyIdempotent

Fetch WHOOP workouts with sport, duration, strain, heart rate, calories, distance, altitude gain, and time in each heart-rate zone, newest first.

Instructions

Workouts with sport, duration, strain, heart rate, calories, distance, altitude gain and time in each heart-rate zone, most recent first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNoUpper bound: a date (YYYY-MM-DD) includes that whole day; a date-time is exclusive. Defaults to now.
rawNoReturn WHOOP's raw API objects instead of compact summaries with friendly units.
daysNoShortcut for start: look back this many days from now. Ignored when start is set.
limitNoMaximum number of records to return.
sportNoOnly return workouts whose sport name contains this text (case-insensitive), e.g. "running". Applied to the fetched records, so raise limit or widen the range to search further back.
startNoInclusive lower bound: a date (YYYY-MM-DD, local midnight) or ISO 8601 date-time.
next_tokenNoPass the next_token from a previous call to get the following records.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

B3.2/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorld, so the safety profile is covered. The description adds the useful default sort order, but says nothing about pagination (next_token exists) or how limit/start/days interact, which are the behaviors an agent most needs to reason about.

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, tightly packed sentence with the resource and ordering front-loaded and no wasted words. It is a noun phrase rather than a full sentence, but that costs nothing in clarity.

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?

With no output schema, the field enumeration (sport, duration, strain, heart rate, calories, distance, altitude, HR-zone time) usefully describes the return shape. Combined with 100% schema coverage on inputs, the only real gap is pagination and filter-interaction behavior.

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 description coverage is 100%, so all seven parameters are already documented in the schema, including the subtle interaction where sport filtering is applied post-fetch. The description adds no parameter-level detail beyond that baseline, so a 3 is appropriate.

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

Purpose4/5

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

The description names the resource (workouts), enumerates the fields returned, and states the ordering (most recent first), so an agent knows exactly what a call produces. It stops short of explicitly distinguishing this list tool from the singular sibling get_workout, leaving that to the tool name.

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 get_workout for a single record, nor any statement of exclusions or prerequisites. The fields listed describe output, not usage context, so the agent gets no routing help.

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