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Glama

getapi_rdw_vehicle-lite

Look up basic Dutch vehicle details using a license plate (kenteken). Ideal for quick RDW checks in apps and workflows.

Instructions

Lightweight vehicle lookup by Dutch license plate (kenteken) [GET /v1/rdw/vehicle-lite]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
license_plateYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden and discloses almost nothing: it implies a GET read, but says nothing about authentication, rate limits, error behavior for unknown plates, or which data the 'lite' projection omits versus the full variant.

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

Conciseness4/5

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

A single front-loaded sentence with no filler, and the endpoint tag is bracketed at the end where it does not interrupt the primary statement. Efficient, though it is terse to the point of under-specification.

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

Completeness2/5

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

With no output schema, no annotations, and a nearly bare input schema, the description should explain what the lookup returns and how 'lite' differs from getapi_rdw_vehicle. It supplies neither, so an agent cannot predict the result shape or the trade-off.

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?

Schema description coverage is 0%, so the description must compensate; it identifies the single parameter as a Dutch license plate (kenteken), which is genuinely useful vocabulary. However it gives no format, normalization, or casing guidance despite the schema enforcing a pattern and length bounds, leaving the constraint undisclosed in prose.

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?

States a specific verb and resource: a vehicle lookup keyed on a Dutch license plate (kenteken), with the HTTP endpoint appended. The gap is that it never differentiates itself from the sibling getapi_rdw_vehicle, so 'lite' is left for the agent to decode on its own.

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 when-to-use guidance and no mention of the obvious alternative, getapi_rdw_vehicle. An agent choosing between the lite and full variants gets no criteria, only the implied adjective 'lightweight'.

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