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gcoombe
by gcoombe

get_gear

Retrieve detailed specifications and usage data for Strava gear items like bikes and shoes using their unique ID.

Instructions

Get detailed information about a specific piece of gear (bike, shoes, etc.)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesGear ID
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves 'detailed information,' implying a read-only operation, but doesn't specify what 'detailed' includes (e.g., metadata, usage stats), whether it requires authentication, rate limits, or error handling. For a tool with no annotations, this leaves significant gaps in understanding its behavior.

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 a single, efficient sentence that front-loads the core purpose ('Get detailed information about a specific piece of gear') and adds clarifying scope ('bike, shoes, etc.'). There is no wasted text, and it's appropriately sized for a simple tool with one parameter.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's low complexity (one parameter, no output schema, no annotations), the description is minimally complete. It covers the basic purpose but lacks details on usage guidelines, behavioral traits, and output expectations. Without an output schema, it should ideally hint at what 'detailed information' includes, but it doesn't, leaving room for improvement.

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?

The input schema has 100% description coverage, with the 'id' parameter documented as 'Gear ID.' The description adds no additional meaning beyond this, such as format examples or sourcing instructions. With high schema coverage, the baseline is 3, as the schema already provides adequate parameter information.

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 clearly states the tool's purpose with a specific verb ('Get') and resource ('gear'), and specifies the scope ('detailed information about a specific piece of gear'). It distinguishes itself from siblings like 'get_activities' or 'get_athlete' by focusing on gear. However, it doesn't explicitly differentiate from all siblings (e.g., 'get_route' or 'get_segment'), so it's not a perfect 5.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a gear ID), exclusions, or comparisons to other tools like 'get_activities' (which might include gear info). Without such context, users must infer usage from the name and schema alone.

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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