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AI Arena Agent Tools

US Vehicle Recall Check — Evidence

nhtsa_vehicle_recalls_evidence
Read-onlyIdempotent

FREE beta. NHTSA recalls with consequence, remedy and affected-unit context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
makeYes
modelYes
model_yearYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already cover read-only, idempotent, and non-destructive behavior, so the bar for additional transparency is lower. The description adds that results include consequence, remedy, and affected-unit context, but it does not disclose beta limitations, pagination, rate limits, or data coverage expectations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short, but the opening 'FREE beta' is promotional and does not help an agent select or invoke the tool. The remaining phrase is compact and readable, yet it sacrifices substance for brevity.

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?

For a tool with only three simple parameters and rich safety annotations, this is minimally adequate: the agent can infer it fetches recall evidence for a vehicle. However, it lacks an explicit action verb, output shape, and any guidance on the difference from the basic version, leaving meaningful gaps.

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 0%, and the description does not compensate by explaining make, model, or model_year or how they interact. The field names are self-explanatory for a recall lookup, but no additional semantic value is provided beyond the schema's names and constraints.

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 identifies the resource ('NHTSA recalls') and the distinguishing scope ('consequence, remedy and affected-unit context'), which separates it from the basic sibling. However, there is no explicit verb (e.g., 'search', 'retrieve', 'returns'), so the action itself is left to inference.

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 evidence/basic pairing in the sibling list plus the 'consequence, remedy and affected-unit context' phrase implies this is the detailed variant of nhtsa_vehicle_recalls_basic, but it never explicitly says when to use this tool versus the basic one. No exclusions or clear decision rules are provided.

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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