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AUTO411 Vehicle Intelligence

Get Vehicle Specs

get_vehicle_specs

Return MCP-permitted normalized specifications for one safely resolved AUTO411 configuration.

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

C2.7/5.0
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 of behavioral disclosure. It mentions 'MCP-permitted' and 'normalized' but does not explain what normalization entails, what 'safely resolved' means, whether the tool performs network access, what happens if the VIN is invalid, or what the return shape is. The word 'safely' hints at guardrails but is too vague to be actionable.

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 sentence with no wasted words, and the key concept ('normalized specifications') is front-loaded. It is appropriately concise, though it sacrifices useful detail for 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 8 optional parameters, no output schema, no annotations, and a vague prerequisite ('safely resolved'), the description is not complete enough for an agent to call this tool correctly. It does not explain how to construct a valid request, what the response contains, or how this differs from sibling tools like resolve_vehicle.

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

Parameters2/5

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

Schema description coverage is only 13%, and the description adds no parameter-level meaning beyond the schema. With 8 parameters and 0 required, an agent cannot tell which combination of vin/make/model/year/etc. is needed to identify a configuration, nor how the parameters relate to 'safely resolved AUTO411 configuration'. The description does not compensate for the low schema coverage.

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 specific verb ('Return') and resource ('normalized specifications for one safely resolved AUTO411 configuration'), and the name 'get_vehicle_specs' clearly distinguishes it from siblings like get_vehicle_efficiency or get_vehicle_fitment. However, it does not explicitly name a sibling or contrast itself, so it falls just short of full differentiation.

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 gives no explicit guidance on when to use this tool versus alternatives like resolve_vehicle or get_vehicle_safety. The phrase 'safely resolved AUTO411 configuration' implies a prerequisite (the configuration must already be resolved), but it does not state it clearly or explain when to choose this tool over siblings.

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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