No useful agent discovery Link headers were found.

Link headers let automated clients discover API catalogs, documentation, and machine-readable alternates without parsing page markup first.

MCP Server Card is missing required fields: $schema, version, remotes[].

MCP server cards give agents a stable, public pre-connection discovery surface for server identity, remote transports, protocol compatibility, and safe routing without guessing endpoints.

No WebMCP surface was found to probe.

WebMCP gives agents structured page and browser tool hints so they can understand actions without relying only on screen scraping.

Best candidate returned Content-Type "text/html; charset=utf-8" instead of text/markdown.

Markdown representations give agents a cleaner page form while preserving normal HTML for browsers and cache-safe representation handling.

The site appears to support login, signup, account access, or credentials but does not publish /auth.md.

Human login and signup flows are often opaque to agents. Auth.md gives automated clients a stable registration contract instead of forcing them to scrape docs, automate browser forms, or guess credential flows.

No Content-Usage or Content-Signal declarations were found.

Content usage preference signals communicate intended downstream AI use separately from robots.txt crawl permission. They can express training and search preferences for compliant systems without replacing access-control rules.

Generic authentication signals were found, but no OAuth/OIDC discovery signal was detected.

OAuth and OIDC discovery let agents and API clients find authorization, token, and key endpoints programmatically instead of scraping login pages or guessing provider setup.

Generic authentication signals were found, but no OAuth Protected Resource metadata signal was detected.

Protected-resource metadata tells agents which API/resource is locked, which authorization servers can issue tokens for it, and how a 401 challenge maps back to the correct resource.

No RSL declarations were found.

Really Simple Licensing is an emerging rights-expression layer for communicating content usage and licensing terms separately from robots.txt crawl permission.

No TDMRep declaration was found at /.well-known/tdmrep.json.

TDMRep is a W3C Community Group protocol and IANA-registered well-known URI for declaring text and data mining reservation policy on applicable content.

This origin appears to publish or claim public APIs, but no RFC 9727 API catalog was found.

API catalogs help agents find API endpoints, service descriptions, documentation, status resources, auth metadata, and related machine-readable contracts without guessing entry points.

No A2A Agent Card was found at the current, legacy, or fallback discovery paths.

A2A Agent Cards provide protocol-specific discovery for agent identity, skills, input and output modes, transport bindings, capabilities, and security requirements. Legacy A2A also used /.well-known/agent.json, so scanners must classify the card shape before reporting readiness.

No Agent Skills discovery index was found at the canonical or legacy path.

An Agent Skills index lets agents discover task-specific instructions through a small trusted index, then verify and load only the skill artifacts they need.

No Wildcard-style agents.json file was found.

Wildcard agents.json gives agents workflow-level context beyond plain OpenAPI, including flows, links, examples, and API action structure. It is an emerging OpenAPI-adjacent proposal, so scanners should validate the contract shape without treating it as an A2A or IETF standard.

No DNS-AID HTTPS/SVCB records were found under _agents.

DNS-AID lets agents discover index, A2A, and other agent entrypoints before fetching HTTP metadata. HTTPS/SVCB records provide the service-binding substrate, while DNSSEC can authenticate the discovery answer when available.

script-src allows unsafe-inline without nonce or hash controls.

Content Security Policy reduces the impact of injection bugs by limiting where scripts, styles, frames, forms, and other browser resources can load or execute.

Missing AIO trust signals: publisher, freshnessDate.

Google AI Overviews and AI Mode depend on normal Google Search eligibility, snippet permissions, useful visible content, consistent structured data, trust signals, and page experience basics. These signals help Google understand and preview a page, but they do not guarantee selection.

17 section(s) bury or omit a concise opening answer.

Answer engines need visible answer passages, clear question and heading structure, entity definitions, evidence, and trust signals. These signals improve extraction and attribution, but they do not guarantee answer-engine citations or search features.

llms.txt includes unsafe or private links that should not be advertised to agents.

llms.txt is an emerging Markdown convention for giving language-model clients curated context and links before they crawl broadly. Broken, private, or low-signal links make the file much less useful even when it exists.

No evidence-backed, citation-length explanatory paragraph was found.

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Semantic HTML is incomplete: 1 form controls missing labels; 0/1 applicable personal-data inputs have valid autocomplete attributes (1 missing); 1 ARIA/native semantic issues.

Semantic HTML gives browsers, assistive technology, search systems, and agents reliable landmarks, headings, controls, form semantics, and image context.

No natural question headings were detected.

Answer engines need visible answer passages, clear question and heading structure, entity definitions, evidence, and trust signals. These signals improve extraction and attribution, but they do not guarantee answer-engine citations or search features.

OpenAPI is valid, but missing schemas, parameters, servers, auth, operation IDs, tags, or examples reduces machine usability.

OpenAPI documents let agents understand operations, schemas, authentication, servers, and request/response formats before calling an API.

Missing answer evidence or trust signals: publisher, freshnessDate.

Answer engines need visible answer passages, clear question and heading structure, entity definitions, evidence, and trust signals. These signals improve extraction and attribution, but they do not guarantee answer-engine citations or search features.

The page has specific visible content intent, but structured data does not include a matching primary schema family.

Structured data gives agents explicit entities, relationships, and page meaning that are harder to infer reliably from visual layout alone.

WebSite.publisher is missing.

Organization and WebSite schema help agents identify the publisher, canonical site identity, logo, and related profiles for attribution.

preload is present; verify hstspreload.org operational requirements before submission.

HSTS tells browsers to keep using HTTPS after the first secure visit, reducing downgrade, SSL-stripping, and mixed-transport risk for repeat users.

Missing source or trust signals: freshnessDate.

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Title/H1 terms missing from description: find, gaps, before.

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.

Missing or weak extraction signals: summary or key takeaways.

Generative answer systems work best with visible, self-contained, evidence-backed content, clear entities, trustworthy attribution, structured page sections, and crawler-accessible HTML. These signals improve machine understanding even though they do not guarantee AI citations.