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Mint proofs over a vehicle check

vehicle_prove_circuits

Mint the signed AffixIO proof set (MOT validity, road legal, audit) over a vehicle lookup, so a tax or MOT claim about a registration comes back with a verifiable proof digest and Merkle root. Give vrm, or pass the fields from a previous vehicle_lookup.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesJSON request body for this check.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

The annotations already declare readOnlyHint=false, idempotentHint=false, openWorldHint=false, and destructiveHint=false, so the agent knows this performs a non-destructive but non-idempotent write-like minting operation. The description adds useful context beyond that: it identifies the proof set components and says the result includes a verifiable proof digest and Merkle root. It does not cover auth, cost, or persistence, but with annotations present this is a solid disclosure.

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?

Two tightly written sentences. The purpose and returned artifacts are front-loaded, and the input guidance follows immediately, with no filler or repetition.

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?

For a minting tool with no output schema, nested body object, and annotations covering safety profile, the description is largely complete: it identifies the proof types, the input source, and the returned digest and Merkle root. It could say more about circuit selection or post-mint storage, but it is adequate for correct invocation.

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%, so the vrm and circuits parameters are already documented in the input schema. The description adds only that vrm can come from a previous vehicle_lookup and does not explain the optional circuits parameter or its default beyond what the schema states, which fits the baseline 3 for high-coverage schemas.

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 states a specific verb+resource ('Mint the signed AffixIO proof set') and names the domain scope: MOT validity, road legal, and audit proofs over a vehicle lookup. It distinguishes itself from the generic sibling affix_circuit_prove by tying the operation to vehicle registration data.

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?

It implies usage by saying the proof set is minted 'over a vehicle lookup' and tells the caller how to supply input ('Give vrm, or pass the fields from a previous vehicle_lookup'). However, it does not state when to choose this tool over alternatives such as vehicle_lookup or affix_circuit_prove, nor does it give any 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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