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.
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?
No lang attribute on <html>.
Fix: Add lang to the <html> root (e.g. lang="en") so screen readers and AI translation engines pick the right voice / model.
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.
Detected 5 heading level skips (e.g. h2 → h4).
Fix: Tighten the heading order so each level only steps down by one. Skipped levels confuse both screen-readers and AI structural extractors.
Only 0/28 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.
Homepage server response contains 678 words of visible text — content is reachable without executing JavaScript.
Homepage contains ~985 elements.
28 of 28 <img> tags have alt attributes.
93 internal links found.
All four landmark elements present (main, header, footer, nav).
Exactly one <h1> on the homepage.
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.
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.
1 of 8 agent-critical accessibility audits failed (Buttons do not have an accessible 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: 78/100. 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.
`[aria-*]` attributes match their roles passed.
`[aria-hidden="true"]` is not present on the document `<body>` passed.
`[aria-hidden="true"]` elements do not contain focusable descendents passed.
`[aria-*]` attributes are valid and not misspelled passed.
`[aria-*]` attributes have valid values passed.
Document has a `<title>` element passed.
Links have a discernible name passed.
1 of 1 visible interactive form fields have labels.
0.032
0.000 (field data from CrUX) — good.
554ms (field data from CrUX) — good.
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?
No Strict-Transport-Security header on the homepage.
Fix: Add `Strict-Transport-Security: max-age=15768000; includeSubDomains` so browsers and agents refuse to downgrade to http for at least six months.
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 Content-Security-Policy header on the homepage.
Fix: Add a Content-Security-Policy. Even a strict default-src directive cuts XSS blast radius dramatically. Start in report-only mode to find violations.
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.
/.well-known/oauth-authorization-server returns parseable JSON.
/.well-known/oauth-protected-resource returns parseable JSON.
x-amz-cf-id: e6gWyyAc58iuo7MDnB25zWi9W8JTFxEm7yr56dxV (AWS CloudFront)
Homepage scheme is https:.
http://huggingface.co → https://huggingface.co/ (1 hop).
No stack-trace markers in the first 5KB.
Homepage HTML references no http:// resources.
Referrer-Policy: strict-origin-when-cross-origin.
Valid for 68 more days (Sep 27 23:59:59 2026 GMT, issuer: Amazon RSA 2048 M04).
Server / X-Powered-By headers don't leak product version.
X-Frame-Options: DENY.