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nitinchakravarthy

Workout Tracker MCP Server

calculate_volume

Calculate total workout volume (weight × sets × reps) to measure training load and track progress across exercises.

Instructions

Calculate total workout volume (weight x sets x reps)

Args:
    weight: Weight used in pounds or kilograms
    sets: Number of sets
    reps: Number of repetitions per set

Returns:
    Dictionary with volume calculation details

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repsYes
setsYes
weightYes

Schema Changelog

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

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. It discloses the multiplication formula and that the return is a dictionary with volume details, but it does not mention unit handling, input validation, or the exact structure of the returned dictionary.

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 front-loaded with the formula and organized into Args and Returns sections with no wasted words. Every sentence adds necessary information.

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

Completeness3/5

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

For a simple calculator, the inputs and general return type are covered, but the return dictionary's keys and units remain unspecified. Since there is no output schema, this leaves the agent uncertain about the exact result shape.

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 description coverage is 0%, but the description compensates by explaining the meaning of each parameter and noting that weight can be in pounds or kilograms. It does not specify constraints like positive numbers or explain the output units, so it is not fully comprehensive.

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: 'Calculate total workout volume' with the exact formula (weight x sets x reps). This clearly distinguishes it from the sibling tools, which all deal with logging, retrieving, or listing workout data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use or when-not-to-use guidance is provided. Context implies it is a standalone calculator that would be used before logging a workout, but the description offers no alternatives or exclusions.

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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