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Cancellation-outcome verification

verify_cancel

Submit a cancel record; returns the signed per-leg cancellation-outcome receipt. One leg = $0.01 verdict; >1 leg = $4.99 full cancel audit (first audit free, one-time trial).

Input Schema

NameRequiredDescriptionDefault
legsYes
cancel_idNo
cancel_tsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses that this is a submit/mutation operation, that it returns a signed receipt, and that pricing depends on leg count with a one-time free trial, but it omits permissions, side effects, idempotency, and what actually happens to the cancel record.

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 definition is compact and front-loaded: the action and return value come first, followed by the relevant cost model. Every sentence adds practical information without waste.

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?

For a three-parameter mutation tool with no annotations, no output schema, and 0% schema description coverage, the description is incomplete. It covers purpose, return type, and pricing but does not explain the nested leg objects, cancel_id, cancel_ts, permissions, or side effects needed to invoke it confidently.

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 explain the parameters but largely does not. It mentions 'leg' and leg count, giving some meaning to the legs array, but cancel_id, cancel_ts, and the structure of each leg object are left undocumented.

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?

The description states a specific action and result: submit a cancel record and return a signed per-leg cancellation-outcome receipt. This is clear enough to understand the tool's core function, though it does not explicitly distinguish it from the sibling verify_receipt.

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 explicit guidance on when to use this tool versus quote or verify_receipt, nor any prerequisites or exclusions. The pricing tiers imply that leg count matters, but they do not tell an agent when this tool is the correct choice.

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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