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find_wheel_visual_offsets

Matches CWheel physics values (tyre_radius etc.) to StreamRenderGfx structures to determine correct visual wheel size and width offsets.

Instructions

Find visual wheel size/width offsets by matching CWheel values.

Compares values from the physics CWheel structure (tyre_radius, etc.) with values found in potential StreamRenderGfx structures to identify the correct visual wheel offsets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes the tool as comparing values to identify offsets, which implies a read-only computation. However, it does not explicitly confirm that the tool has no side effects or state changes, leaving slight ambiguity.

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 two sentences long with no wasted words. It front-loads the purpose and then provides technical context efficiently. Ideal conciseness for a tool with no parameters.

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?

Given the tool has no parameters and an output schema, the description is largely complete. It explains the matching process sufficiently for an AI agent. However, a minor gap: it does not clarify what constitutes 'correct' offsets or how they are used, but this is acceptable given the sibling context.

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?

The tool has zero parameters, so per guidelines the baseline is 4. The description does not need to add parameter details and does not attempt to, which 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?

The description uses a specific verb 'find' and clearly identifies the resource 'visual wheel size/width offsets'. It differentiates from siblings like 'cache_visual_offsets' (which caches rather than finds) and 'set_visual_wheel_size' (which sets rather than finds). The purpose is unambiguous.

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 explains what the tool does but does not explicitly state when to use it over alternatives like 'cache_visual_offsets' or 'probe_wheels'. The usage context is implied by the action of 'finding' but lacks explicit guidance on prerequisites or exclusions.

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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