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turnnoblindeye

Wellness Project MCP

show_exercise_progression

Read-onlyIdempotent

Chart estimated one-rep-max trends over time for a chosen lift, using date-range and muscle-group filters to compare progress.

Instructions

Show the user's estimated 1-rep-max progression for a lift over time as an interactive line chart, with filters for date range and muscle group, and an exercise picker. When the user asks about this, prefer calling this tool and rendering the interactive MCP app over describing the underlying rows in text. Returns a short text summary alongside the visual view.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rangeNoTime window. One of 7d, 30d, 90d, 1y.
exerciseNoExercise name to chart (e.g. "Bench Press"). Optional; defaults to the most-logged lift in the window.
muscle_groupNoOptional muscle-group filter for the exercise picker (e.g. "Chest", "Legs").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesWidget discriminant identifying the payload shape.
generatedAtNoISO timestamp the snapshot was built.

Schema Changelog

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

  1. First observedv1.2.1

TDQS

A5/5.0
Behavior5/5

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

The annotations already mark the tool as read-only, idempotent, and non-destructive, and the description does not contradict any of these. It additionally discloses the output format (short text summary alongside visual view) and the UI preference, making the behavior fully transparent without adding any misleading side effects.

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 sentences with no redundant words. It packs the key purpose, filtering capabilities, UI preference, and output summary into a compact but complete statement.

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?

The description gives the agent enough context to decide when to call the tool (when the user asks about progression) and what to expect (interactive chart, summary text). It also differentiates itself from text-based alternatives, covering the essential contextual needs for correct usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides detailed descriptions for all three parameters, including the enum for range and the default behavior for exercise. The function description reinforces their purpose as filters/picker, and the schema coverage is 100%, ensuring the agent understands each parameter's role.

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 explicitly states the function shows 1-rep-max progression over time as an interactive line chart with filters for date range and muscle group, and an exercise picker. This makes the tool's purpose unambiguous and distinct from other workout-related tools.

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

Usage Guidelines5/5

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

The description provides clear guidance: when the user asks about this topic, prefer this tool and render the interactive app rather than describing rows in text. This directly tells the agent when and how to invoke the tool.

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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