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nhtsa-vehicle-safety-mcp-server

Nhtsa Search Complaints

nhtsa_search_complaints
Read-only

Search consumer safety complaints filed with NHTSA for a specific vehicle. Returns a component breakdown over all matching complaints plus a paginated slice of the most recent complaints. Use for common problems, failure patterns, or owner-reported issues.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
makeYesVehicle manufacturer.
limitNoMax complaint narratives to return. Defaults to 20; max 50. componentBreakdown always reflects all matching complaints.
modelYesVehicle model.
offsetNoPagination offset into the filing-date-descending complaint list. Defaults to 0. componentBreakdown is unaffected by pagination.
componentNoFilter to a specific component (uppercase, e.g., "ENGINE", "AIR BAGS", "ELECTRICAL SYSTEM"). Matches within comma-separated component lists. Omit to see all.
modelYearYesModel year, a whole number.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNoPresent when the call failed. Absent on success.
limitNoPagination limit used for this page
noticeNoGuidance when no complaints match the vehicle, or when the requested page overshoots the result set.
offsetNoPagination offset used for this page
returnedNoNumber of complaints in this page
complaintsNoPaginated slice of the most recent complaints, date-descending
totalCountNoTotal complaints matching criteria
effectiveQueryNo"make model modelYear" with optional component filter applied, as the server used it.
componentBreakdownNoComplaints grouped by component, sorted by frequency

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true.lukas The description adds valuable behavioral details: it returns a component breakdown across all complaints plus a paginated slice of the most recent ones, and notes that the breakdown is unaffected by pagination. This is context beyond the annotation and helps the agent understand what results to expect.

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: first states exactly what the tool does and returns; second gives the recommendation for when to use it. No fluff, no ambiguity. Excellent structure for agent consumption.

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?

For a read-only tool with complete schema documentation, the description covers purpose, result structure, and usage context. Nothing critical is missing. Pagination behavior is clarified, which is a potential source of confusion. Output structure is mentioned (component breakdown + paginated complaints). This is complete for an agent to decide and call correctly.

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

Parameters4/5

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

The input schema provides complete descriptions for all 6 parameters (100% coverage). The description complements this by clarifying the result structure and the component filter's behavior. It adds semantic value about pagination and componentBreakdown, though the schema itself is thorough. Credit for the description's clarification of how offset/component interact with the breakdown.

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 states a specific verb ('search'), resource ('consumer safety complaints'), and a clear target ('filed with NHTSA for a specific vehicle'). It also distinguishes itself from siblings by focusing on complaints rather than recalls, ratings, or VIN lookups. An agent can clearly identify this as the complaints search tool.

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?

Provides a clear usage context: 'Use for common problems, failure patterns, or owner-reported issues.' While it doesn't explicitly list alternatives or when not to use it, the phrasing implies it's for complaints rather than recalls or ratings. No exclusions, but the purpose is distinct enough from sibling tools.

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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TDQS

A4.1/5.0
Disambiguation4/5

Tools are mostly distinct, but nhtsa_get_safety_ratings and nhtsa_get_vehicle_safety overlap, with the latter subsuming the former. Descriptions help clarify when to use each, so agents are unlikely to misselect.

Naming Consistency5/5

All tools consistently use the nhtsa_ prefix followed by a verb_noun pattern (decode_vin, get_safety_ratings, lookup_vehicles, search_recalls). The verb varies by action but follows a predictable, uniform structure.

Tool Count5/5

Seven tools is well within the ideal range and fits the NHTSA vehicle safety domain. Each tool covers a distinct facet (VIN, ratings, complaints, recalls, investigations), justifying its presence without bloat.

Completeness4/5

The set covers core vehicle safety workflows: VIN decoding, safety ratings, complaints, recalls, and investigations. A minor gap is the lack of a dedicated tool for detailed recall or investigation record retrieval beyond search, but the existing search tools appear sufficient for most use cases.