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Build a home workout

build_home_workout
Read-onlyIdempotent

Use this when the user wants a bodyweight, no-equipment home workout session. Builds a 15-move session the way the Upfit iPhone app builds one: 2 warm-ups, 10 main moves balanced around the chosen level, then 3 harder finishers. Returns each move's name, phase, set length and rest. Read-only; collects no personal data and needs no body measurements. The same seed returns the same session.

Input Schema

NameRequiredDescriptionDefault
seedNoOptional. Any word or number; the same seed rebuilds the same session. Leave out for a fresh random one.
levelYesTraining experience: beginner, intermediate or advanced.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile needs no restating. The description still adds real context beyond them: no personal data collected, no body measurements needed, and that the same seed reproduces the same session. It omits any failure/edge behavior, so not a 5.

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?

Four short sentences, front-loaded with the trigger condition before the mechanics. The session composition is stated compactly and nothing is redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description compensates by naming exactly what each returned move contains (name, phase, set length, rest). Combined with the annotations and a fully documented input schema, an agent has everything needed to call it correctly.

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 both parameters are already fully documented in the schema, including the seed's determinism note. The description's mention of 'the chosen level' and a repeatable seed restates rather than extends that, making the baseline 3 correct.

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?

States a specific verb and resource ('Builds a 15-move session') and pins the exact output shape: 2 warm-ups, 10 main moves, 3 finishers. It is unmistakably distinct from siblings like list_exercises or get_exercise_form_cues.

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?

Opens with an explicit trigger — 'Use this when the user wants a bodyweight, no-equipment home workout session' — which tells the agent when it applies. It does not name a sibling as an alternative or state when not to use it, so it stops short of 5.

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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