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Accessibility (WCAG) audit

audit_accessibility

Static WCAG 2.2 accessibility audit from the DOM: image alt text, form labels, heading structure, landmarks, color-contrast signals, language attribute, duplicate ids, iframe titles. Returns violations with fixes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
langNoReport language (default en): en, tr, es, de, fr, pt, it, ja, zh.
targetYesTarget website URL or domain you own / are authorized to audit (e.g. https://example.com).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesAudit pillar represented by this result.
gradeYesHuman-readable grade, or null when unavailable.
scoreYesMeasured score from 0 to 100, or null when unavailable.
totalYesTotal findings produced before response truncation.
countsYesFinding totals grouped by normalized severity.
targetYesCanonical audited target.
findingsYesPrioritized findings with evidence, impact, and remediation.
passingChecksYesNumber of checks that passed or reported protection.
returnedFindingsYesNumber of findings included in this response.
findingsTruncatedYesTrue when additional findings exist outside this response.

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already carry the safety profile (readOnlyHint=false, destructiveHint=false, openWorldHint=true). The description adds useful context beyond the annotations: the WCAG 2.2 edition, the fact that the analysis comes from the DOM, and the claimed output (violations with fixes). Notably, the wording 'static audit' is implied read-only, and that is not contradicted by the annotations but readOnlyHint=false warns the opposite; because the description never explicitly claims read-only, it is not a contradiction, though side-effect expectations stay fuzzy.

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?

A tight single sentence front-loads the verb and scope, then a compact checklist of 8 audit areas, and closes with the return value. There is no filler and no repetition of the input schema; every phrase adds information.

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 two-parameter audit tool with a documented schema and an output schema, the description is nearly complete: it specifies the audit standard, the data source, the exact coverage, and the output type. It only omits a few meaningful details compared to an ideal spec, such as whether the entire domain is crawled or only a single page is audited, and whether any verification is needed before the run; these are left to the parameter description.

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 100%: target includes an example plus explicit ownership/authorization requirement, and lang comes with a complete enum and usage note. The description adds no parameter-level details beyond context, so the schema does the semantic heavy lifting; baseline 3 applies.

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?

States a specific verb and resource: 'Static WCAG 2.2 accessibility audit' and enumerates the exact checks performed (image alt text, form labels, heading structure, landmarks, color-contrast signals, language attribute, duplicate ids, iframe titles). This cleanly distinguishes it from sibling audit tools (audit_seo, audit_performance, audit_security, etc.) without needing to inspect them.

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 applicability is implied: it is the accessibility-audit tool among the audit_ siblings, so an agent can infer when to pick it. However, the description never explicitly states when to use it instead of audit_full, or notes conditions such as needing an authenticated page to audit. Usage context is clear but not directly spelled out.

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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TDQS

A4.3/5.0
Disambiguation5/5

Each audit tool targets a distinct dimension of site health (accessibility, AI visibility, integrations, performance, security, SEO), with audit_full explicitly composing them. The boundaries are clearly described, so there is no realistic ambiguity in choosing which tool to invoke.

Naming Consistency5/5

All seven tools follow the exact same verb_noun snake_case pattern with audit_ as a prefix, followed by a descriptive domain element. This creates an entirely predictable and consistent naming convention.

Tool Count5/5

Seven tools is a well-scoped count for a site auditing server: six specialized audits plus one composite full audit. No tool feels redundant, and the set is neither too thin nor too heavy for its stated purpose.

Completeness5/5

The tool surface covers all major established audit domains—accessibility, AI visibility, integrations/unwanted trackers, SEO, performance, and security. The full audit ties everything together with summaries and fixes, creating a complete audit-fix-retest lifecycle without obvious gaps.

Resources