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Verify a tracked fix

verify_fix

Queue a targeted automated re-check of representative pages to confirm a specific fix, without rescanning the entire site or guaranteeing full compliance.

Instructions

Queues a targeted automated re-check of representative pages for one tracked fix. This is not a full-site re-scan or a compliance guarantee. Pro+.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
remediationItemIdYesA fix id returned by get_fixes.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
pollWithYes
standardYesThe standard the checks were run against, e.g. "WCAG 2.1 AA".
verificationYes
scoringGuidanceYesBinding instruction for the assistant reading this result. Follow it literally.
coverageDisclaimerYesWhy this result is not a compliance verdict. Always relay it; never present a scan as proof of conformance.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.1.4

TDQS

A4.2/5.0
Behavior4/5

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

The description adds meaningful behavioral context beyond the annotations: it reveals the action is queued rather than synchronous, scopes the check to 'representative pages', and notes the 'Pro+' entitlement requirement. This is consistent with idempotentHint=false and readOnlyHint=false; no contradiction exists.

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 focused sentences with no filler. The primary action and scope are front-loaded, and the caveats are cleanly separated at the end.

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 simple one-parameter tool with an output schema, the description is largely complete: it communicates async behavior, scope, limitations, and entitlement. The only notable gap is that it does not suggest using the sibling get_fix_verification to check the queued verification outcome, which would be helpful for a queued action.

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?

The input schema already covers the single parameter with 100% coverage, including the description 'A fix id returned by get_fixes.' The tool description's phrase 'one tracked fix' does not add materially new meaning beyond what the schema already conveys.

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 uses a specific verb ('Queues'), a clear resource ('one tracked fix'), and a specific method ('targeted automated re-check of representative pages'). It also distinguishes itself from a full-site re-scan and from compliance guarantees, so an agent can tell it apart from broader scanning tools.

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?

It gives an explicit invocation context: use this when you want a targeted automated re-check for one tracked fix. It also provides clear negative boundaries ('not a full-site re-scan or a compliance guarantee'), though it does not explicitly name sibling alternatives such as get_fix_verification for retrieving verification results.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.