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Search vehicles, MOT and maintenance

search_vehicles
Read-onlyIdempotent

Search owned vehicles with exact open-maintenance counts and earliest maintenance dates. Returns at most the requested limit, not a total match count. Narrow the query if the limit is reached. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYes
vehiclesYes
data_noticeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, non-destructive and closed-world, so 'Read-only' is largely redundant. The description nevertheless adds real behavioral disclosure beyond the annotations: results are capped at the limit rather than reporting a total match count, and the agent is told to narrow the query when the cap is hit.

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?

Four short sentences, front-loaded with the core capability, then the payload, then the result-cap caveat and the corrective action. No filler or restatement.

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?

An output schema exists, so return values need no explanation, and the description covers the one non-obvious result trait (limit capping, no total count). The remaining gap is the unspecified matching semantics of 'query', which is the main thing an agent must guess at.

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 coverage is 0% and there are two parameters. The description clarifies that 'limit' caps returned rows, but says nothing about what fields 'query' matches (name, plate, make?), its string-matching behavior, or the maxLength constraint, so an agent cannot construct a precise query from the description alone.

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 ('Search owned vehicles') and adds the distinguishing payload ('exact open-maintenance counts and earliest maintenance dates'). It is clearly a search/list tool versus the get_*detail siblings, though it never names or contrasts them explicitly.

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?

Gives conditional guidance ('Narrow the query if the limit is reached') that is genuinely actionable, but does not say when to prefer this tool over get_fleet_action_brief or get_vehicle_action_detail. Usage is implied by the class of operation rather than stated.

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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