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Find NHTSA Automation Investigations

nhtsa_automation_investigations
Read-onlyIdempotent

Search MORVS-reviewed NHTSA automated-driving, Level 2 driver-assistance and SGO-compliance investigations. Returns NHTSA’s structured action fields, cited SGO report IDs and published lookup links; scope and reason are MORVS-reviewed classifications, not NHTSA findings. Optionally includes linked recall campaigns with potentially affected units as filed by the manufacturer. An opened investigation or a defect petition is not a finding. A recall’s potentially affected units are not a fleet census. No NHTSA summary text or personal names are returned. Reports are each company’s own filings with NHTSA, not a finding, and say nothing about responsibility. The highest injury severity alleged says nothing about responsibility. ADS and Level 2 ADAS have different reporting requirements, are kept separate and are never added together; OTHER is never a crash count. Reports and crashes are different counts. Counts reflect fleet size and reporting rules; they are not rates, are never normalised by miles or fleet size, and are never a safety ranking. The third amended order changed reporting from June 16, 2025, so counts across that break are not directly comparable. A narrative marked as confidential business information is a claim, not an NHTSA decision. No people or narrative text are returned. NHTSA’s caveats are included verbatim.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum investigations and recalls returned.
statusNoOptional investigation status: open or closed. Opening is not a finding.
companyNoOptional case-insensitive manufacturer or company substring.
include_recallsNoInclude related NHTSA recalls; defaults to true. Potentially affected units are as filed, not a fleet census.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already establish that this is a safe, read-only, idempotent lookup, but the description adds substantial context beyond them: it names the returned fields, notes optional recall linkage, says no NHTSA summary text or personal names are returned, and warns about the June 16, 2025 reporting break and non-comparability across it. Some of this is repeated disclaimer text, but the behavioral disclosure is well above what the annotations provide.

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

Conciseness2/5

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

The purpose is front-loaded, but the description is heavily bloated with repeated caveats: 'not a finding,' 'says nothing about responsibility,' and 'not a fleet census' recur in multiple forms. Several sentences restate the same legal disclaimer rather than adding new invocation guidance.

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

Completeness4/5

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

For a four-parameter tool with no output schema, the description is fairly complete: it explains the returned fields, recall inclusion, data limitations, and confidentiality handling. It is weaker on routing between sibling NHTSA tools, but the core behavioral context is present.

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 description coverage is 100%, so all four parameters are already documented in the input schema. The description does not add syntax, default behavior beyond what the schema states, or parameter-specific guidance, so the baseline score of 3 is appropriate.

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 first sentence gives a specific verb (Search) and a specific resource (MORVS-reviewed NHTSA automated-driving, Level 2 driver-assistance and SGO-compliance investigations). It is distinguishable from generic NHTSA siblings such as nhtsa_recent and nhtsa_by_manufacturer, but it never names or explicitly contrasts those alternatives.

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?

There is no explicit when-to-use guidance and no comparison to sibling tools such as nhtsa_recent, nhtsa_by_manufacturer, or self_driving_reports. The description explains how to interpret returned data, but not when an agent should choose this tool over another.

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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