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timps_accessibility_tester

Audit HTML, React, or Vue frontends for WCAG 2.2 AA and AAA compliance, detecting colour contrast, ARIA, keyboard navigation, focus order, and screen reader issues.

Instructions

Audit a frontend (HTML / React / Vue) for WCAG 2.2 AA & AAA issues — colour contrast, ARIA, keyboard nav, focus order, screen reader hints.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior3/5

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

There are no annotations, so the description carries the behavioral burden. 'Audit' implies read-only analysis rather than mutation, and the listed check areas give useful behavioral scope. However, it does not state whether it modifies files, what input it requires (URL, file path, code snippet), or what kind of report it produces.

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 a single, well-structured sentence with no filler. It front-loads the core purpose and then lists concrete audit categories, making it easy to parse quickly.

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?

The tool has no output schema and no annotations, so the description should explain what the audit returns and how to specify the target. It does neither. With zero required parameters, it is unclear what happens if 'request' is omitted, and the odd 'language' parameter adds confusion rather than guidance.

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 baseline 3 is appropriate. The tool description adds no parameter-specific meaning. In particular, the 'language' parameter (default: python) seems unrelated to auditing HTML/React/Vue frontends, and the description does not clarify how 'request' should be formulated.

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 names a specific verb ('Audit'), a specific resource ('frontend (HTML / React / Vue)'), and specific standards/check areas ('WCAG 2.2 AA & AAA', 'colour contrast, ARIA, keyboard nav, focus order, screen reader hints'). This clearly distinguishes it from sibling tools like ui_ux_agent or full_checkup.

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?

The description makes the intended use clear: accessibility auditing of frontend code. It does not explicitly mention when not to use it or name alternatives, but the context is strong enough for an agent to infer when this tool is appropriate.

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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