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Vehicle data sources

vehicle_data_sources
Read-onlyIdempotent

List the upstream sources used for vehicle tax, MOT and clean air checks, so a claim can be cited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional query parameters.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds the provenance/citation framing but says nothing about the shape of the catalogue returned or whether all three check types are always present. Adequate but thin beyond what annotations supply.

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 the verb and resource first and the rationale last; nothing is padded or repeated. It is appropriately sized, though the rationale clause could be traded for more actionable detail.

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?

With no output schema, the description carries the burden of explaining what comes back, and it only implies a citation-friendly source list without describing entries (provider names, URLs, retrieval dates) or whether the three check domains are returned together. Complete enough to invoke correctly, not complete enough to use confidently.

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?

With one optional parameter and 100% schema description coverage, the baseline is 3. The description adds no filtering semantics, which matters here because the "query" object is an untyped bag of additionalProperties with a vacuous schema description ("Optional query parameters.").

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 ("List") and resource ("upstream sources") and scopes it to vehicle tax, MOT and clean air checks, which is concrete enough for an agent to act on. It does not explicitly distinguish itself from the near-identical sibling tools (clean_air_data_sources, road_legal_data_sources), leaving that inference to the domain prefix.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

"so a claim can be cited" implies the usage context (provenance/citation gathering) rather than stating it directly. There is no explicit when-to-use/when-not or reference to an alternative source-listing tool, so the agent must infer the trigger condition.

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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