Skip to main content
Glama

vehicle.complaints

Retrieve NHTSA consumer complaints for a vehicle by make, model, and model year. Get incident date, component, summary, and crash/injury/fatality flags.

Instructions

NHTSA consumer complaints by make/model/year. Returns incident date, component, summary, crash/injury/fatality flags.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
makeNo
limitNo
modelNo
offsetNo
modelYearNo
Behavior3/5

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

With no annotations, the description must convey behavioral traits. It implies a read-only query (returns data) and lists returned fields, but does not explicitly state read-only behavior, mention pagination behavior (limit/offset), or disclose any side effects. The behavioral transparency is adequate but not comprehensive.

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?

The description is extremely concise: two sentences, no superfluous words. It front-loads the purpose and then lists return fields. Every sentence provides value.

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?

Given the tool has 5 parameters, no annotations, and no output schema, the description is somewhat incomplete. It omits details on pagination (limit/offset), data range, and how to interpret the flags. It provides the core what but lacks the operational context needed for a fully informed invocation.

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?

The description adds meaning for three parameters (make, model, modelYear) by stating 'by make/model/year', but does not explain limit and offset, which are in the schema without descriptions. Since schema description coverage is 0%, the description partially compensates but leaves pagination parameters undocumented.

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 it returns NHTSA consumer complaints by make/model/year and lists the specific fields returned (incident date, component, summary, crash/injury/fatality flags). It distinguishes itself from sibling tools like vehicle.recalls or vehicle.investigations by specifying the data source and type of data.

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 provides no guidance on when to use this tool versus alternatives such as vehicle.recalls or vehicle.investigations. It does not mention any prerequisites, required permissions, or scenarios where this tool is appropriate or not.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/2s-io/sdk'

If you have feedback or need assistance with the MCP directory API, please join our Discord server