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Find Recent Vehicle Recalls

nhtsa_recent
Read-onlyIdempotent

Recent NHTSA vehicle recalls. Filter by manufacturer, make, model year. park_it=1 returns only the most urgent recalls (do-not-drive).

Input Schema

NameRequiredDescriptionDefault
makeNoMake code (uppercased: TESLA, FORD, etc.)
yearNoExact vehicle model year as an integer, e.g. 2024.
limitNoMaximum recalls by report received date; default 50, max 200.
park_itNoUse 1 to show only recalls flagged park-it; 0 or omitted leaves all recalls.
manufacturerNoCase-insensitive manufacturer name substring, e.g. Tesla.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • addedInput schema / properties / limit / description
      Added value: +"Maximum recalls by report received date; default 50, max 200."
    • addedInput schema / properties / manufacturer / description
      Added value: +"Case-insensitive manufacturer name substring, e.g. Tesla."
    • addedInput schema / properties / park_it / description
      Added value: +"Use 1 to show only recalls flagged park-it; 0 or omitted leaves all recalls."
    • addedInput schema / properties / year / description
      Added value: +"Exact vehicle model year as an integer, e.g. 2024."
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds some behavioral color by explaining park_it as 'do-not-drive' urgent recalls, but it never defines what 'recent' means (time window) or how results are ordered.

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?

Three short clauses, no filler, with the core purpose front-loaded and the park_it nuance last. Tight and easy to scan.

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 simple read-only, zero-required-parameter tool with full schema coverage and no output schema, this is adequate: purpose, filters and the special flag are covered. It still leaves the recency window undefined and gives no hint about how it differs from nhtsa_by_manufacturer.

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%, so the baseline is 3. The description restates the filter dimensions (manufacturer, make, model year) and reinforces park_it's urgency, but the schema already documents each parameter including enum, default and max values; the description adds no syntax or edge-case detail beyond it.

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?

Names a specific resource (NHTSA vehicle recalls) and scope ('Recent'), with the title giving a clear verb ('Find Recent Vehicle Recalls'). However, it does nothing to distinguish itself from the sibling nhtsa_by_manufacturer, which plausibly covers the same records.

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 implies a use case ('recent' recalls, filterable by manufacturer/make/year) but never states when to pick this over nhtsa_by_manufacturer or any other sibling, and gives no prerequisites or exclusions. An agent must infer the routing.

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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