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WhichTrim vehicle records

get_vehicle

The full published record for one model year: EPA fuel economy, NHTSA recalls, owner-complaint counts and the mileage at which owners reported problems, crash ratings, open investigations, service bulletins and the diagnostic trouble codes its record names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesVehicle id, e.g. 2021_kia_telluride. Get one from search_vehicles.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It communicates that the tool returns a comprehensive published record and details its contents, but it does not disclose error behavior, availability caveats, or whether any fields may be omitted. This is adequate for a simple read-only retrieval but not richly transparent.

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 well-structured sentence that front-loads the core purpose ('full published record for one model year') before enumerating contents. It contains no filler, though the list is somewhat dense.

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 simple single-parameter interface and no output schema, the description is a strong substitute for documenting return contents by explicitly listing the major record categories. It is largely complete for selecting and invoking the tool, though it omits mention of behavior when a vehicle id is invalid or unknown.

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% and the single id parameter already includes an example and source instruction ('Get one from search_vehicles'), so the baseline is 3. The tool description itself adds no additional parameter-specific meaning beyond what the schema already provides.

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 clearly states the tool returns the full published record for one model year and enumerates its contents: EPA fuel economy, NHTSA recalls, owner-complaint counts, crash ratings, investigations, service bulletins, and diagnostic trouble codes. This specific resource scope distinguishes it from sibling tools like check_recalls or search_vehicles.

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 implies use when a complete vehicle record is needed and the schema instructs to obtain an id from search_vehicles, which is helpful context. However, it provides no explicit when-not-to-use guidance or references to more specialized siblings like lookup_trouble_code or check_recalls.

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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