--- name: a11y-debugging description: Uses Chrome DevTools MCP for accessibility (a11y) debugging and auditing based on web.dev guidelines. Use when testing semantic HTML, ARIA labels, focus states, keyboard navigation, tap targets, and color contrast. --- ## Core Concepts **Accessibility Tree vs DOM**: Visually hiding an element (e.g., `CSS opacity: 0`) behaves differently for screen readers than `display: none` or `aria-hidden="true"`. The `take_snapshot` tool returns the accessibility tree of the page, which represents what assistive technologies "see", making it the most reliable source of truth for semantic structure. **Reading web.dev documentation**: If you need to research specific accessibility guidelines (like `https://web.dev/articles/accessible-tap-targets`), you can append `.md.txt` to the URL (e.g., `https://web.dev/articles/accessible-tap-targets.md.txt`) to fetch the clean, raw markdown version. This is much easier to read! ## Workflow Patterns ### 1. Browser Issues & Audits Chrome automatically checks for common accessibility problems. Use `list_console_messages` to check for these native audits first: - `types`: `["issue"]` - `includePreservedMessages`: `true` (to catch issues that occurred during page load) This often reveals missing labels, invalid ARIA attributes, and other critical errors without manual investigation. ### 2. Semantics & Structure The accessibility tree exposes the heading hierarchy and semantic landmarks. 1. Navigate to the page. 2. Use `take_snapshot` to capture the accessibility tree. 3. **Check Heading Levels**: Ensure heading levels (`h1`, `h2`, `h3`, etc.) are logical and do not skip levels. The snapshot will include heading roles. 4. **Content Reordering**: Verify that the DOM order (which drives the accessibility tree) matches the visual reading order. Use `take_screenshot` to inspect the visual layout and compare it against the snapshot structure to catch CSS floats or absolute positioning that jumbles the logical flow. ### 3. Labels, Forms & Text Alternatives 1. Locate buttons, inputs, and images in the `take_snapshot` output. 2. Ensure interactive elements have an accessible name (e.g., a button should not just say `""` if it only contains an icon). 3. **Orphaned Inputs**: Verify that all form inputs have associated labels. Use `evaluate_script` to check for inputs missing `id` (for `label[for]`) or `aria-label`: ```js () => Array.from(document.querySelectorAll('input, select, textarea')) .filter(i => { const hasId = i.id && document.querySelector(`label[for="${i.id}"]`); const hasAria = i.getAttribute('aria-label') || i.getAttribute('aria-labelledby'); return !hasId && !hasAria && !i.closest('label'); }) .map(i => ({ tag: i.tagName, id: i.id, name: i.name, placeholder: i.placeholder, })); ``` ```` 4. Check images for `alt` text. ### 4. Focus & Keyboard Navigation Testing "keyboard traps" and proper focus management without visual feedback relies on tracking the focused element. 1. Use the `press_key` tool with `"Tab"` or `"Shift+Tab"` to move focus. 2. Use `take_snapshot` to capture the updated accessibility tree. 3. Locate the element marked as focused in the snapshot to verify focus moved to the expected interactive element. 4. If a modal opens, focus must move into the modal and "trap" within it until closed. ### 5. Tap Targets and Visuals According to web.dev, tap targets should be at least 48x48 pixels with sufficient spacing. Since the accessibility tree doesn't show sizes, use `evaluate_script`: ```js // Usage in console: copy, paste, and call with element: fn(element) el => { const rect = el.getBoundingClientRect(); return {width: rect.width, height: rect.height}; }; ```` _Pass the element's `uid` from the snapshot as an argument to `evaluate_script`._ ### 6. Color Contrast To verify color contrast ratios, start by checking for native accessibility issues: 1. Call `list_console_messages` with `types: ["issue"]`. 2. Look for "Low Contrast" issues in the output. If native audits do not report issues (which may happen in some headless environments) or if you need to check a specific element manually, you can use the following script as a fallback approximation. **Note**: This script uses a simplified algorithm and may not account for transparency, gradients, or background images. For production-grade auditing, consider injecting `axe-core`. ```js el => { function getRGB(colorStr) { const match = colorStr.match(/rgba?\((\d+),\s*(\d+),\s*(\d+)/); return match ? [parseInt(match[1]), parseInt(match[2]), parseInt(match[3])] : [255, 255, 255]; } function luminance(r, g, b) { const a = [r, g, b].map(function (v) { v /= 255; return v <= 0.03928 ? v / 12.92 : Math.pow((v + 0.055) / 1.055, 2.4); }); return a[0] * 0.2126 + a[1] * 0.7152 + a[2] * 0.0722; } const style = window.getComputedStyle(el); const fg = getRGB(style.color); let bg = getRGB(style.backgroundColor); // Basic contrast calculation (Note: Doesn't account for transparency over background images) const l1 = luminance(fg[0], fg[1], fg[2]); const l2 = luminance(bg[0], bg[1], bg[2]); const ratio = (Math.max(l1, l2) + 0.05) / (Math.min(l1, l2) + 0.05); return { color: style.color, bg: style.backgroundColor, contrastRatio: ratio.toFixed(2), }; }; ``` _Pass the element's `uid` to test the contrast against WCAG AA (4.5:1 for normal text, 3:1 for large text)._ ### 7. Global Page Checks Verify document-level accessibility settings often missed in component testing: ```js () => ({ lang: document.documentElement.lang || 'MISSING - Screen readers need this for pronunciation', title: document.title || 'MISSING - Required for context', viewport: document.querySelector('meta[name="viewport"]')?.content || 'MISSING - Check for user-scalable=no (bad practice)', reducedMotion: window.matchMedia('(prefers-reduced-motion: reduce)').matches ? 'Enabled' : 'Disabled', }); ``` ## Troubleshooting If standard a11y queries fail or the `evaluate_script` snippets return unexpected results: - **Visual Inspection**: If automated scripts cannot determine contrast (e.g., text over gradient images or complex backgrounds), use `take_screenshot` to capture the element. While models cannot measure exact contrast ratios from images, they can visually assess legibility and identifying obvious issues.