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get_exercise_history

Read-onlyIdempotent

Get performance history for a specific exercise across sessions. Shows per-session sets, volume, estimated 1RM, and heaviest set, plus trends over time. When present, local_date is the session's calendar date in the user's client-reported timezone; date is a UTC timestamp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of recent sessions (default 10, max 50)
exercise_nameYesThe exercise display name (e.g. 'Barbell Bench Press')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
trendNo
sessionsYes
exercise_display_nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive, and non-open-world, so the safety profile is covered. The description adds meaningful behavioral context: it explains what data is returned (sets, volume, 1RM, heaviest set, trends) and clarifies the local_date vs date semantics, which is not repeated elsewhere. The remaining gap is the absence of explicit mention of the session limit default or pagination behavior, though the schema covers limit.

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?

Three sentences, front-loaded with the core purpose, then output contents, then a precise timezone clarification. No filler or repetition.

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?

The description covers purpose, output fields, and timezone semantics. Since an output schema exists, return values need not be fully explained, and annotations cover safety. The only minor gap is not explicitly stating that limit defaults to 10 and maxes at 50, but that's already in the schema.

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 (exercise_name and limit) are already documented. The description adds context about the output fields (sets, volume, 1RM, etc.) but doesn't extend parameter meaning beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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 ('Get') and resource ('performance history for a specific exercise across sessions'). The description clearly distinguishes it from sibling search_exercises (which finds exercises) and get_workout_detail (which covers a workout, not exercise history).

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?

Usage is implied by the description (retrieve history for a named exercise), but there's no explicit when-to-use versus alternatives like get_workout_detail or validate_exercise_names. An agent can infer the right context from the purpose, but no exclusions or alternative routing are provided.

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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