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 1 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.
Only 2/31 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.
Found 6 <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 252 words of visible text — content is reachable without executing JavaScript.
Homepage contains ~716 elements.
7 headings, no level skips.
Language declared as "en".
31 of 31 <img> tags have alt attributes.
75 internal links found.
All four landmark elements present (main, header, footer, nav).
All 1 reachable key pages have both a <title> and <h1>.
All 1 pages return ≥80 words of visible text without JavaScript.
Can agents actually operate 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.
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.
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.
All 10 agent-critical accessibility audits passed — an agent can perceive and operate the page through its accessibility tree.
`[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.
`[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.
Links have a discernible name passed.
Lighthouse accessibility score: 95/100. Agents read the page through its accessibility tree, so this is a proxy for how navigable your site is to an AI agent.
2 of 2 visible interactive form fields have labels.
1/1 data-collecting forms mark required fields.
All audits passed
0.002
0.050 (field data from CrUX) — good.
255ms (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.
/.well-known/oauth-authorization-server returned 403.
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 403.
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 `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.
cf-ray: a1eb35d6aa407869-AMS (Cloudflare); Server: cloudflare
CSP header present.
Homepage scheme is https:.
http://eneba.com → https://www.eneba.com/ (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 89 more days (Oct 19 08:49:53 2026 GMT, issuer: WE1).
Server / X-Powered-By headers don't leak product version.
X-Frame-Options: SAMEORIGIN.