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.
Could not identify a known website platform (custom stack or unrecognised).
Can agents understand your content?
Only 2 of 7 images have alt attributes (29%).
Fix: Add alt text to every <img>. Screen readers and AI vision models both rely on it to caption images.
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.
Cookie banner appears to overlay the page (fixed/sticky, dialog role) without a clearly-labelled reject affordance.
Fix: Offer a "Reject all" or "Continue without accepting" button alongside "Accept". Agents and non-JS crawlers that can't click through your banner read the page as empty.
Only 5/7 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, header.
Homepage server response contains 774 words of visible text — content is reachable without executing JavaScript.
Homepage contains ~842 elements.
15 headings, no level skips.
Language declared as "en-US".
13 internal links found.
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 link discernible text (avoid bare icons / "click here") so agents know where it goes.
Only 0 of 1 visible interactive form fields have labels.
Fix: Associate every input with a label. Form-filling agents (and screen readers) need it to know what to type into each field.
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 5 agent-critical accessibility audits failed (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: 73/100. 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.
1.70s (field data from CrUX) — needs improvement.
Fix: Every request an AI agent makes pays this server latency, and agents make many requests per task. Reduce TTFB with edge caching, a CDN, and shipping less server-side work per request.
`[aria-hidden="true"]` is not present on the document `<body>` passed.
`[aria-hidden="true"]` elements do not contain focusable descendents passed.
Buttons have an accessible name passed.
Document has a `<title>` element passed.
0.030 (field data from CrUX) — good.
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.
x-akamai-transformed: 0 - 0 - (Akamai)
CSP header present.
max-age=31536000, includeSubDomains=true, preload=false.
Homepage scheme is https:.
http://deezer.com → https://www.deezer.com/us/ (3 hops).
No stack-trace markers in the first 5KB.
Homepage HTML references no http:// resources.
Valid for 193 more days (Jan 30 23:59:59 2027 GMT, issuer: GandiCert).
Server / X-Powered-By headers don't leak product version.
X-Content-Type-Options: nosniff.
X-Frame-Options: SAMEORIGIN.