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AUTO411 Vehicle Intelligence

Get Vehicle Fitment

get_vehicle_fitment

Return vehicle fitment facts including tires and available wheel fitment specifications such as bolt pattern, center bore, offset, and thread size.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vinNo17-character VIN
makeNo
trimNo
yearNo
modelNo
engineNo
drivetrainNo
configuration_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden, but it only states a read-style action ('Return') and lists sample output topics. It does not disclose how the vehicle is identified, whether lookups are read-only, what happens with partial/ambiguous inputs, or any response behavior.

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?

The description is a single, front-loaded sentence with no filler and useful illustrative examples. It is concise, though it sacrifices needed parameter/usage detail in favor of brevity.

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

Completeness2/5

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

Given eight optional parameters, no output schema, and no annotations, the description is insufficiently complete: it does not clarify the lookup key, output structure, or edge cases. The examples of returned specs are helpful but cannot compensate for the missing invocation context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 13% (just the VIN description), and the description never mentions the eight input parameters or how they combine. There is no compensation for the schema gap, so an agent cannot tell whether VIN, vehicle descriptors, or configuration_id are required or preferred.

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 ('Return') and a well-defined resource ('vehicle fitment facts'), then clarifies the domain with concrete examples ('tires', 'bolt pattern', 'center bore', 'offset', 'thread size'). This clearly distinguishes it from sibling tools focused on efficiency, safety, specs, or vehicle resolution.

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?

No guidance is given about when to choose this tool over get_vehicle_specs or resolve_vehicle, and no prerequisites are stated. The only hint is the resource name itself, which requires inference rather than explicit usage direction.

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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