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.
Discovered 12 candidate pages but none were reachable.
Fix: Make sure the pages linked from your sitemap and navigation return HTTP 200 to non-browser clients — agents fetch them the same way our crawler does.
Lighthouse Agentic Browsing audits ran.
Could not identify a known website platform (custom stack or unrecognised).
Can agents understand your content?
Only 98 of 140 images have alt attributes (70%).
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.
0 of 1 tables have <thead>.
Fix: Wrap table headings in <thead><tr><th> so AI tabular extractors can map rows to columns reliably.
Homepage contains ~2505 elements — heavy.
Fix: Aim for under 1500 elements on the homepage. Heavier DOMs slow first paint and overflow some AI crawlers' parse buffers.
Detected 2 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 0/140 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, footer, nav.
Found 9 <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 2045 words of visible text — content is reachable without executing JavaScript.
Language declared as "en".
617 internal links found.
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.
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 12 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: 81/100. 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.
0/1 data-collecting forms mark required fields.
Fix: Add the `required` attribute (or `aria-required="true"`) to mandatory inputs. Form-filling agents skip optional fields by default — without markers they over-fill.
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.
0.204
0.160 (field data from CrUX) — needs improvement.
Fix: A layout that shifts while loading makes an AI agent mis-click the element it targeted. Eliminate CLS by setting explicit width/height on images and embeds, avoiding inserted content above existing content, and reserving space for ad slots.
`[aria-*]` attributes match their roles 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.
Buttons have an accessible name passed.
Document has a `<title>` element passed.
Input buttons have discernible text. passed.
6 of 6 visible interactive form fields have labels.
239ms (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.
HSTS max-age=86400 is below six months.
Fix: Raise max-age to at least 15768000 (six months). The HSTS preload list requires 31536000 (one year).
x-served-by: cache-ams-eham8680082-AMS, cache-ams-eha (Fastly / Varnish)
CSP header present.
Homepage scheme is https:.
http://jdsports.co.uk → https://www.jdsports.co.uk/ (2 hops).
No stack-trace markers in the first 5KB.
Homepage HTML references no http:// resources.
Referrer-Policy: strict-origin-when-cross-origin.
Valid for 82 more days (Oct 12 10:09:49 2026 GMT, issuer: YR1).
Server / X-Powered-By headers don't leak product version.
X-Content-Type-Options: nosniff.
X-Frame-Options: sameorigin.