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Glama

Stolen Check

stolen_check

Check if a VIN appears in supported police/Vincario stolen databases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
vinYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It indicates a read-only lookup (via 'check if') and notes the limited database coverage ('supported police/Vincario'), but it does not explain what happens for invalid VINs, not-found results, or whether any side effects exist. This is minimal but non-contradictory.

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 a single front-loaded sentence with no unnecessary words. It efficiently conveys purpose and scope in about 10 words.

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?

Given the tool's simplicity (one required parameter) and the presence of an output schema, the description sufficiently covers the core purpose and data source. It might benefit from noting that 'supported' implies limited coverage or that this is a theft-specific check, but overall it is adequate for the tool's low complexity.

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

Parameters2/5

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

With schema coverage at 0%, the description needed to compensate by explaining the 'vin' parameter. It only repeats the concept of a VIN without adding format constraints, examples, or clarifying that the parameter is the exact identifier to search. The schema itself provides only a string type, so the description adds little meaning.

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 uses a specific verb ('check') and names the exact resource ('VIN against police/Vincario stolen databases'), which clearly differentiates it from sibling tools like vin_decode and vehicle_market_value. It is not a tautology and immediately conveys the tool's function.

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?

The description clearly implies the tool is for verifying theft status and limits its scope to 'supported' databases, giving useful context. However, it does not explicitly name alternatives or say when not to use it, so it lacks formal exclusions.

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

A3.5/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: stolen check, market value, VIN decoding, and field listing. Even vin_decode and vin_decode_info are separate since one returns decoded data and the other returns available fields.

Naming Consistency4/5

All tool names use lower_snake_case and are descriptive, but they mix noun-phrase patterns (vehicle_market_value) with verb-noun patterns (vin_decode). This is a minor inconsistency, though still readable and predictable.

Tool Count5/5

Four tools is a well-scoped size for a vehicle data API, covering the essential VIN-related lookups without unnecessary redundancy or overwhelming breadth.

Completeness4/5

The surface covers core VIN tasks: decode, market value, stolen status, and field availability. Minor gaps like VIN validation or vehicle history reports exist but are not obvious dead ends for common use cases.