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delete_vehicle

Destructive

Soft-delete a vehicle so it leaves list_vehicles; the record is retained. Use it when the household sells a car.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesID of the vehicle to soft-delete.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
titleNo
messageNo
variantNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / examples
      Added value: +[
      +  {
      +    "id": "0198c1f4b2c07a1b9e4d5f6a7b8c9d0e"
      +  }
      +]
    • addedInput schema / properties / id / description
      Added value: +"ID of the vehicle to soft-delete."
    • addedInput schema / properties / id / examples
      Added value: +[
      +  "0198c1f4b2c07a1b9e4d5f6a7b8c9d0e"
      +]
  2. First observed

TDQS

A4.5/5.0
Behavior5/5

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

The description discloses a crucial behavioral nuance beyond the annotations: this is a soft-delete, not a permanent destruction. 'The record is retained' clarifies that despite destructiveHint=true, data is not erased, only removed from list_vehicles. This gives the agent a precise understanding of the operation's side effects.

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 two short sentences with no filler. The core behavioral information is front-loaded, and the usage guideline follows immediately. Every word earns its place.

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

Completeness5/5

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

For a simple single-parameter tool, the description covers the essential behavior (soft-delete, visibility effect, retention) and usage context. An output schema exists, so return values need not be explained. Annotations cover safety profile. Nothing critical is missing.

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?

Schema description coverage is 100%, with the 'id' property already described as 'ID of the vehicle to soft-delete.' The tool description adds no additional meaning about parameters, so the baseline of 3 applies. It is not deficient, but it does not go beyond the schema.

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 clearly states the tool's function: 'Soft-delete a vehicle so it leaves list_vehicles; the record is retained.' This identifies the specific verb (soft-delete), resource (vehicle), and distinguishes it from hard-delete or update operations. It also differentiates from list_vehicles by explicitly noting the effect on listing visibility.

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 provides a clear usage scenario: 'Use it when the household sells a car.' This gives the agent a contextual trigger for invoking the tool. It does not explicitly state when not to use it or name alternatives, but the condition is specific enough to guide tool selection.

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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