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RecallScout

Get vehicle recalls

get_vehicle_recalls
Read-onlyIdempotent

List NHTSA safety recalls for a vehicle by make, model and model year, newest first, with the defect summary, safety risk, remedy and whether NHTSA advises not driving or parking outside. Use when the user names a car (not a VIN) and asks about recalls or known safety defects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
makeYesManufacturer, e.g. Honda, Ford, Tesla
modelYesModel name as sold in the US, e.g. Accord, F-150, Model 3
model_yearYesFour-digit model year, e.g. 2020

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint, so the safety profile is covered. The description adds real behavioral value beyond them: records are ordered newest first and include defect summary, safety risk, remedy, and NHTSA do-not-drive/park advisories.

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?

Two sentences, no filler, with the core capability front-loaded and the usage condition second. Every clause earns its place.

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

Completeness5/5

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

There is no output schema, and the description compensates by enumerating the returned fields and their ordering. Combined with the routing rule and required params, an agent has everything needed to call it correctly.

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?

All three parameters are fully documented in the schema (100% coverage, with examples and bounds), so the schema carries the load. The description only restates that lookup is by make, model and model year, adding no new syntax or matching guidance.

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?

States a specific verb and resource (list NHTSA safety recalls for a vehicle), plus scope details: keyed by make/model/model year, ordered newest first, and what each record contains. The VIN exclusion cleanly separates it from check_vehicle_by_vin.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit when-to-use ('when the user names a car and asks about recalls or known safety defects') and an explicit when-not ('not a VIN'). It stops short of naming the alternative tool (check_vehicle_by_vin) or distinguishing it from get_recall_details, but the routing rule is clear.

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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