Skip to main content
Glama

log_workout

Record completed workout sessions with ratings and perceived exertion to build an accurate training log.

Instructions

Save/log a completed workout with results.

saved_workout_id: from create_personal_session or get_workout_details. workout_id: the workout's workoutId. date_string: YYYY-MM-DD date of the session. blocks: list of block/set IDs that were completed. rpe: Rate of Perceived Exertion (1-10). workout_rating: numeric rating as string e.g. "8.0".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rpeNo
notesNo
blocksYes
workout_idYes
date_stringYes
workout_ratingNo
saved_workout_idYes
is_personal_calendarNo
Behavior2/5

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

No annotations exist, so the description must disclose behavioral traits. It only states the basic action and says nothing about side effects, persistence, idempotency, or side effects of logging. This is insufficient for a mutation tool.

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 brief, front-loaded with the purpose, and then efficiently lists parameters in a structured way. No filler or redundancy.

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

Completeness2/5

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

With 8 parameters, no output schema, and no annotations, the description only partially completes the picture. It lacks usage context, return behavior, and potential side effects. Missing parameter explanations and no guidance on response format make it incomplete for an agent to fully trust.

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 has zero descriptions, so the description compensates by explaining 6 of 8 parameters with clear meanings. However it omits notes and is_personal_calendar, leaving a gap. Still, the provided explanations add real value.

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?

Description clearly states 'Save/log a completed workout with results' – a specific verb and resource, distinguishing it from planning/session-creation tools. It directly conveys the tool's core function without ambiguity.

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 explicit guidance on when to use this vs alternatives. The only hint is that saved_workout_id comes from create_personal_session or get_workout_details, implying a dependency, but no when/when-not or alternative comparisons are provided.

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

Install Server

Other Tools

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/cmagorian/trainheroicMcp'

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