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Strong Saga Home Gym Gear Finder

Get one gear item

get_home_gym_gear
Read-only

Use when a user asks about one product you already have an id for (from search, compare or build), e.g. "how tall is it?" or "what's its weight limit?". Full record for one product id (e.g. sg-001), including size, ceiling needed, capacity, guide price, short pros and cons from the guide (where it has them), who it is for, and guide_url. Good for "what are the downsides of sg-001?".

Input Schema

NameRequiredDescriptionDefault
idYesProduct id like sg-001 (from search_home_gym_gear).
user_height_inNoUser height in inches, used for treadmill and walking pad ceiling math.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / properties / id / description
      Added value: +"Product id like sg-001 (from search_home_gym_gear)."
    • addedInput schema / properties / user_height_in / default
      Added value: +70
    • addedInput schema / properties / user_height_in / description
      Added value: +"User height in inches, used for treadmill and walking pad ceiling math."
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations only declare readOnlyHint=true, so the description adds real value by disclosing the exact payload contents and noting limitations ('short pros and cons from the guide (where it has them)'). It doesn't discuss behavior for an invalid or unknown id, which is the main remaining gap.

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?

Front-loaded with the trigger condition and efficient overall. The multiple quoted examples are slightly redundant but each illustrates a distinct use case (dimensions, weight limit, downsides), so they mostly earn their place.

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 no output schema, the description usefully enumerates return fields so the agent knows what it will get back. It's nearly complete; only error/failure behavior for a missing id is unaddressed.

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 are already documented, including the sg-001 pattern and the treadmill/walking-pad ceiling math for user_height_in. The description only repeats the id example and does not add semantics for user_height_in, so baseline 3 is appropriate.

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 ('Full record for one product id') and enumerates what the record contains (size, ceiling needed, capacity, guide price, pros/cons, guide_url). It is clearly distinguishable from search_home_gym_gear and compare_home_gym_gear by scoping to a single known id.

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?

Explicit about when to call: 'Use when a user asks about one product you already have an id for (from search, compare or build)', with concrete trigger phrases ('how tall is it?', 'what's its weight limit?', 'what are the downsides of sg-001?'). The precondition (already having an id) implicitly routes the agent to search when no id exists.

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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