title-check
Server Details
VIN/HIN pre-purchase report: open NHTSA recalls, complaints, investigations, title-brand & liens.
- Status
- Healthy
- Uptime
- 100.0% over 37 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2024-11-05
- URL
TDQS
Scored across 1 tool
Only one tool exists, so there is no possibility of ambiguity or confusion between tools.
With a single tool, naming consistency is not applicable; no inconsistency can arise.
A single tool is slightly minimal but reasonable for a focused service like title checking, as the tool consolidates multiple data sources into one comprehensive report.
The tool covers VIN/HIN decoding, recalls, complaints, and provides sources for further title checks, but explicitly omits official title records, leaving minor gaps for users needing state/NMVTIS data.
Available Tools
1 toolvehicle_reportAInspect
Generate a pre-purchase report for a titled asset by VIN (cars, trucks, RVs, trailers, heavy equipment) or HIN (recreational boats). Returns open federal NHTSA recalls (severity-ranked), consumer-complaint crash/fire/injury/death counts, open investigations, VIN check-digit + factory decode, and the exact next-step sources for lien & title-brand. Public NHTSA/USCG data — not an official title record; lien/salvage need a state/NMVTIS check, which the report links.
| Name | Required | Description | Default |
|---|---|---|---|
| hin | No | 12-character Hull Identification Number (recreational boats). | |
| vin | No | 17-character VIN (cars/trucks/RVs/trailers/equipment). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations present, so description carries full burden. It discloses data sources (public NHTSA/USCG), limitations (not official title), and return items (recalls, complaints, investigations, decode, next-step sources). No hidden behaviors remain.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single paragraph but well-structured: main action first, then scope, then detailed contents, then caveats. Every sentence adds value without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite no output schema, the description enumerates all return elements (recalls with severity ranking, complaint counts, investigations, VIN check-digit, decode, next-step sources), making the tool's output fully predictable.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with descriptions for 'vin' and 'hin' parameters. The description adds context on when to use each (VIN for land vehicles, HIN for boats) and the character lengths, enhancing understanding beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description specifies the tool generates a pre-purchase report for titled assets by VIN or HIN, lists vehicle types (cars, trucks, RVs, trailers, heavy equipment, recreational boats), and details the return data. The verb 'generate' and resource 'pre-purchase report' are clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use the tool (pre-purchase check), what data it covers (public NHTSA/USCG), and importantly distinguishes it from official title records, advising a state/NMVTIS check for lien/salvage. It provides clear alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
vehicle_report
Related MCP Connectors
Decode VINs, search recalls, complaints, crash ratings, and investigations.
Decode any VIN and check open NHTSA safety recalls. Free official US government data, no auth.
Decodes US VINs and looks up open NHTSA safety recall campaigns for a vehicle.
Vehicle safety recalls, complaints, and crash data from NHTSA
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceProvides comprehensive vehicle reports by aggregating data from multiple public sources to decode VINs, check recalls, and view safety ratings. It enables users to validate VINs locally and retrieve technical specifications, fuel economy, and vehicle photos without requiring API keys.8 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables querying U.S. vehicle safety and specification data, including VIN decoding, recalls, complaints, investigations, and crash test ratings.2 npmMIT
- AlicenseNot gradedqualityDmaintenanceEnables instant U.S. vehicle recall lookup by make, model, and year using official NHTSA data.MIT
- AlicenseAqualityAmaintenanceDecode VINs, look up specs, history, recalls, market value, and OBD codes. Recognize license plates and VINs from images. Access comprehensive vehicle data by year, make, and model to power automotive workflows.12MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.