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get_training_maxes

Read-onlyIdempotent

Get training max (1RM estimate) values for exercises. Returns all training maxes, or filter by exercise name.

Args: exercise_name: Optional exercise display name to filter (e.g. 'Barbell Back Squat').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
exercise_nameNoOptional exercise display name to filter (e.g. 'Barbell Back Squat')

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
training_maxesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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 is covered by structured data. The description adds only that results are either the full set or filtered, which is useful scope context but not deep behavioral disclosure. Output schema handles return format.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences front-load the purpose and scope. The Args section duplicates the schema parameter description without adding value, which is mild redundancy, but overall the text is compact.

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?

With an output schema handling return structure and annotations covering the safety profile, the description supplies enough for an agent to invoke this single-parameter read correctly. Only explicit sibling routing is missing.

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 description coverage is 100% for the single optional parameter, so the schema already documents it fully. The description's Args block restates the same text and example ('Barbell Back Squat') verbatim, adding no meaning beyond the schema. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Get training max (1RM estimate) values for exercises'), and the parenthetical clarifies what a training max is. It is distinguishable from siblings like get_exercise_history or set_training_max, though it never names them explicitly.

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?

The description implies usage ('Returns all training maxes, or filter by exercise name') but gives no explicit when-to-use condition, prerequisites, or guidance on choosing between this and set_training_max/get_exercise_history. Adequate but thin.

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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