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Plan a home gym

plan_home_gym
Read-only

Build a home gym equipment plan that fits your space, ceiling and budget. Inputs: space_sqm, optional ceiling_height_cm, budget, goals[] (strength, hypertrophy, conditioning, general), region (EU or US). Returns equipment with fit flags (fits_space, fits_ceiling), cost, weight capacity, plate/bar compatibility, third-party testing and plain store URLs, plus total cost, budget remaining, cheaper alternatives and space notes. Read-only.

Input Schema

NameRequiredDescriptionDefault
goalsYes
budgetYes
regionYes
space_sqmYes
ceiling_height_cmNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=false and destructiveHint=false, and the description is consistent with those. Beyond annotations, it adds useful behavioral context by describing the return contents: fit flags, cost, weight capacity, compatibility, third-party testing, store URLs, budget remaining, cheaper alternatives and space notes.

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 core purpose and then efficiently lists inputs and outputs. Every clause adds information relevant to invoking the tool, with no wasted prose.

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?

For a five-parameter planning tool with no output schema, the description is nearly complete: it explains inputs, output fields and the read-only nature. The main remaining gap is guidance on when to use this versus sibling tools.

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%, so the description carries the burden and names every parameter: space_sqm, optional ceiling_height_cm, budget, goals[] with allowed values, and region with EU/US. It does not clarify finer points such as budget currency handling across regions, but overall the parameter meaning is well covered.

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?

The description states a clear verb and resource: build a home gym equipment plan, with scope around space, ceiling and budget. It does not explicitly distinguish itself from siblings like plan_stack or shopping_list, but the purpose is specific enough for an agent to recognize it as the home-gym planner.

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: this is the tool for planning home gym equipment given space, budget, goals and region. However, there is no explicit when-to-use guidance, no exclusions, and no routing to siblings such as compare or shopping_list.

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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