Can agents find your site and its capabilities?
The page registers no tools via the WebMCP browser API (navigator.modelContext).
Fix: Expose your actions to AI agents with the WebMCP browser API: register tools via navigator.modelContext.registerTool. Optionally also publish a /.well-known/webmcp.json tool catalog as a discovery signpost.
If your llms.txt file does not follow recommendations, large language models may not be able to understand how you want your website to be crawled or used for training. The [llms.txt](https://llmstxt.org/) file should be a Markdown file containing at least one H1 header.
Crawled 12 of 12 discovered pages beyond the homepage.
Lighthouse Agentic Browsing audits ran.
Could not identify a known website platform (custom stack or unrecognised).
Can agents understand your content?
Homepage ignored Accept: text/markdown and returned HTML.
Fix: Serve a markdown version of high-value pages when the client asks for text/markdown. AI summarisers, chatbots and IDE agents prefer markdown — fewer tokens, no DOM noise.
Homepage contains ~4231 elements — well above the 1500-element budget.
Fix: Trim the homepage DOM: an AI agent has to read all of it before acting, and this page is several times over budget. Long product carousels, hidden modal markup and large tracker scripts are common culprits.
165 of 197 images have alt attributes (84%).
Fix: Add alt text to the remaining images. Empty alt="" is fine for purely-decorative graphics.
Only 0/197 images have width+height — large CLS risk.
Fix: Set width and height on every <img> so the browser reserves space before the image loads. A layout that shifts while loading makes an AI agent mis-click the element it targeted.
Missing landmark elements: main.
Found 2 <h1> tags. Most AI summarisers expect exactly one.
Fix: Demote the secondary H1s to H2 — keep H1 reserved for the page title.
Homepage server response contains 4738 words of visible text — content is reachable without executing JavaScript.
52 headings, no level skips.
Language declared as "en".
12 internal links found.
All 12 reachable key pages have both a <title> and <h1>.
All 12 pages return ≥80 words of visible text without JavaScript.
Can agents actually operate the page?
Lighthouse flagged this audit — agents may be unable to perceive or operate the affected elements.
Fix: Give every <button> discernible text or an aria-label so agents can identify it.
Lighthouse flagged this audit — agents may be unable to perceive or operate the affected elements.
Fix: Give every link discernible text (avoid bare icons / "click here") so agents know where it goes.
A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page.
The page registers no tools via the navigator.modelContext browser API, so an AI agent has no structured way to operate it.
Fix: Expose your site’s actions to AI agents with the WebMCP browser API: call navigator.modelContext.registerTool({ name, description, inputSchema, execute }) from your page so an agent can invoke them. Implement it directly, or with a library like the @mcp-b polyfill (https://mcp-b.ai). Spec: https://github.com/webmachinelearning/webmcp.
2 of 14 agent-critical accessibility audits failed (Buttons do not have an accessible name, Links do not have a discernible name) — an agent may be unable to identify or operate the affected elements.
Fix: Fix the failing agent-accessibility audits listed below (accessible names on controls, valid ARIA roles/relationships, nothing interactive hidden from the tree).
Lighthouse accessibility score: 88/100. Agents read the page through its accessibility tree, so this is a proxy for how navigable your site is to an AI agent.
Fix: Resolve the failing accessibility audits below — each one removes an element or relationship an agent would otherwise be blind to.
No autocomplete attributes on any data-collecting form field.
Fix: Add autocomplete hints (email, tel, name, etc.) so form-filling agents and browsers can populate fields without guessing.
0/1 data-collecting forms expose errors via ARIA attributes.
Fix: Wire inputs to their error containers with `aria-describedby` and toggle `aria-invalid` on validation failure. Agents that can't see styled error text rely on these attributes.
5 of 7 visible interactive form fields have labels.
Fix: Associate every input with a label — either wrap it in <label>, link via for/id, or set aria-label / aria-labelledby.
No HTML5 validation hints (pattern / minlength / maxlength / min / max) on any data-collecting form input.
Fix: Publish input constraints via HTML attributes so agents and browsers can validate client-side.
`[aria-*]` attributes match their roles passed.
Uses ARIA roles only on compatible elements passed.
`button`, `link`, and `menuitem` elements have accessible names passed.
`[aria-hidden="true"]` is not present on the document `<body>` passed.
`[aria-hidden="true"]` elements do not contain focusable descendents passed.
`[role]`s have all required `[aria-*]` attributes passed.
`[role]` values are valid passed.
`[aria-*]` attributes are valid and not misspelled passed.
`[aria-*]` attributes have valid values passed.
Document has a `<title>` element passed.
`<frame>` or `<iframe>` elements have a title passed.
Input buttons have discernible text. passed.
1/1 data-collecting forms mark required fields.
0
0.010 (field data from CrUX) — good.
237ms (field data from CrUX) — good.
3 forms missing annotations
Lists the [WebMCP tools](http://goo.gle/webmcp-docs) registered at the time of analysis.
No tool catalog was found at /.well-known/webmcp.json (or /.well-known/webmcp). The catalog is a community convention, not part of the WebMCP standard, so this does not affect WebMCP presence.
Fix: Consider also publishing a tool catalog at /.well-known/webmcp.json: a JSON document with a "spec" of "webmcp/0.1" and a "tools" array, where each tool declares a name and a clear description. It is a community convention (optional, not part of the WebMCP standard) that lets crawlers and agents discover your tools without executing JavaScript.
Can agents safely transact?
/.well-known/oauth-authorization-server returned 404.
Fix: Publish /.well-known/oauth-authorization-server so AI agents discovering your OAuth setup can negotiate flows automatically. Required if your site offers an authenticated API.
/.well-known/oauth-protected-resource returned 404.
Fix: Publish /.well-known/oauth-protected-resource so AI agents discovering your OAuth setup can negotiate flows automatically. Required if your site offers an authenticated API.
No Web Bot Auth signature headers — sites can't verify agent identity.
Fix: Web Bot Auth (IETF HTTP Message Signatures over Signature / Signature-Input) lets you cryptographically verify which agent is hitting you. Several CDNs offer turn-key support; otherwise skip until vendor support matures.
No Referrer-Policy header on the homepage.
Fix: Add `Referrer-Policy: strict-origin-when-cross-origin` so outbound links don't leak full URLs (including query strings) to third parties.
No `X-Content-Type-Options: nosniff` header.
Fix: Add `X-Content-Type-Options: nosniff` to prevent browsers (and some agents) from re-interpreting your responses as a different content type.
x-served-by: cache-lon420091-LON, cache-ams-eham86800 (Fastly / Varnish)
CSP header present.
max-age=31536000, includeSubDomains=true, preload=false.
Homepage scheme is https:.
http://gamesradar.com → https://www.gamesradar.com/ (1 hop).
No stack-trace markers in the first 5KB.
Homepage HTML references no http:// resources.
Valid for 59 more days (Sep 18 16:34:03 2026 GMT, issuer: YR1).
Server / X-Powered-By headers don't leak product version.
X-Frame-Options: SAMEORIGIN.