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Dispute a drive result

dispute_result

Disputes the published result of your own product (an API key with a verified claim on its domain; else 403 claim_not_verified), at one checkpoint (docs, signup, verify, credentials, first_call, first_action, pay, cancel, delete), with what is true. A case opens; while no dispute re-drive of the product ran in the last 30 days, a confirm re-drive of the agent's path is queued at once (its result shows on the listing once reviewed). Returns case_id, the re-drive's state and the next step. The answer comes in writing, in case_status.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claimYesWhat is true, in plain words (up to 2,000 characters)
productYesYour product's domain or directory slug
checkpointYes
evidence_urlNoOptional: a public page that shows it (kept on the case; we never fetch it automatically)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior5/5

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

Goes well beyond the annotations (readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=true): it discloses the auth failure mode (403 claim_not_verified), the case-opening workflow, the async re-drive queuing rule keyed to a 30-day window, and the fact that the re-drive result only appears on the listing once reviewed.

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?

The verb and resource are front-loaded in the opening clause, and the parenthetical checkpoints and re-drive condition each carry real information. It drifts into a dense multi-clause run-on with nested parentheses, which slightly hurts readability without being wasteful.

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?

With no output schema, the description does the job of explaining returns (case_id, the re-drive's state and the next step) and routes the eventual written answer to case_status. Auth, workflow, and return payload are all covered, leaving little an agent needs 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 coverage is 75%, so most parameters are documented structurally, including the full checkpoint enum. The description reinforces the checkpoint list and characterizes claim as 'what is true' and product as the caller's own product, but adds no format or constraint detail beyond the schema, so the baseline 3 applies.

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 (Disputes) and resource (the published result of your own product), and enumerates the checkpoint scope that maps to the enum. It distinguishes itself from case_status by designating the latter as the channel for the answer, but gives no direct sibling comparison to tools like recheck_after_fix or followup_drive.

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?

The prerequisite is explicit (an API key with a verified claim on its domain; else 403 claim_not_verified), and the 30-day re-drive condition is stated. However, there is no guidance on when to dispute versus alternatives such as recheck_after_fix or followup_drive, so the choice is left implicit.

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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