CanAgentUse tools

UCP Suite

Validate Universal Commerce Protocol discovery, then test product search, carts, checkout links, and merchant handoff flows.

MCP Playground

Connect to remote MCP servers, inspect tools and resources, test prompts, auth, headers, notifications, and JSON-RPC responses.

A2A Playground

Inspect Agent Cards, validate advertised endpoints, and prepare safe requests for agent-to-agent workflows.

Agent Website Viewer

Enter a public URL and see the roles, names, landmarks, controls, and blockers that shape how AI agents understand the page.

SCANNED
Jun 24, 2026, 5:17 AM
VISIBILITY
Public
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49/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability26%Agent Easeof Use43%Security& Trust61%GEO, AIO, AEO50%SEO91%Performance97%Accessibility58%
  • AI Discoverability 26 out of 100
  • Agent Ease of Use 43 out of 100
  • Security & Trust 61 out of 100
  • GEO, AIO and AEO 50 out of 100
  • SEO 91 out of 100
  • Performance 97 out of 100
  • Accessibility 58 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

ImgBB — Upload Image — Free Image Hosting favicon

ImgBB — Upload Image — Free Image Hosting

Free image hosting and sharing service, upload pictures, photo host. Offers integration solutions for uploading images to forums.

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Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
26
Priority fix920View details
Discoverability
20
Priority fix200
Content Readiness
18
Priority fix700
Bot Access Control
38
Priority fix020View details
Agent Ease of Use
43
Priority fix762View details
API
50
Needs work400
Auth
37
Priority fix130View details
MCP
40
Priority fix100
Skill Discovery
44
Priority fix132View details
GEO, AIO and AEO
50
Needs work700
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable300
AEO Readiness
Not Applicable
Not Applicable200
SEO
91
Strong700
SEO
91
Strong700
Security & Trust
61
Needs work1300
Security & Trust
61
Needs work1300
Performance
97
Strong1800
Performance
97
Strong1800

Prioritized recommendations

Issues ranked by score impact

3 items need attention

AI DiscoverabilityBot Access ControlEstablished

AI bot rules in robots.txt

AI bot rules in robots.txt failed at "Fetch robots.txt".

100 Fail

Needs attention

AI bot rules in robots.txt

Failed check
01

Issue

No robots.txt content was available to inspect for AI bot rules.

02

Why it matters

AI crawler product tokens have different meanings. Explicit robots.txt groups make training, search, and retrieval access policy auditable for compliant crawler operators.

Check name

AI bot rules in robots.txt

Score

0/100

Status

fail

Category

Bot Access Control

Maturity

Established

Goal

Declare deliberate robots.txt rules for major AI training, AI search, user-triggered, and dataset crawlers.

Result

AI bot rules in robots.txt failed at "Fetch robots.txt".

Validation steps

  1. Fetch robots.txt

    No robots.txt content was available to inspect for AI bot rules.

  2. Classify AI crawler rules

    No explicit User-agent rules were found for major AI crawler tokens.

Evidence log2 steps · 10 lines
Fetch robots.txt [fail]! No robots.txt content was available to inspect for AI bot rules.INFOFetch robots.txtINFORequesting /robots.txt from the site originFAILCheck whether robots.txt content is available actual="no content" expected="content returned" length=0FAILNo robots.txt content was available to inspect for AI bot rules.Classify AI crawler rules [fail]! No explicit User-agent rules were found for major AI crawler tokens.INFOClassify AI crawler rulesINFOParsing User-agent groups and Allow/Disallow records for known AI crawler tokens evaluatedPath="/"INFOEvaluating exact User-agent matches before wildcard fallback exactAiPolicyCount=0 totalCrawlerTokens=18FAILNo explicit AI crawler User-agent groups were found examplesExpected=["GPTBot","OAI-SearchBot","ClaudeBot","Google-Extended","CCBot"]FAILCompare explicit AI crawler coverage actual=0 expected="> 0 explicit non-search AI crawler policies" missingTokens=["GPTBot","OAI-SearchBot","ChatGPT-User","ClaudeBot","Claude-SearchBot","Claude-User","Google-Extended","Applebot-Extended","Amazonbot","Amzn-SearchBot","Amzn-User","PerplexityBot"]INFOResolved effective root-path policy for crawler tokens blocked=0 allowed=0 unspecified=21

Agent Ease of UseAuthEmerging recommendation

Auth.md Agent Registration

Auth.md Agent Registration failed at "Fetch and validate /auth.md".

90 Fail

Needs attention

Auth.md Agent Registration

Failed check
01

Issue

auth.md response did not match Auth.md v1 agent registration guidance. Content-Type "text/html; charset=UTF-8" is not Markdown or text/plain; missing OAuth Protected Resource Metadata discovery guidance; missing OAuth authorization-server metadata guidance; missing Auth.md credential type guidance; missing agent_verified/user_claimed or claim ceremony guidance.

02

Why it matters

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.

Check name

Auth.md Agent Registration

Score

10/100

Status

fail

Category

Auth

Maturity

Emerging recommendation

Goal

Publish Auth.md v1 metadata so agents can discover how to register, claim a user, and obtain credentials.

Result

Auth.md Agent Registration failed at "Fetch and validate /auth.md".

Validation steps

  1. Fetch and validate /auth.md

    auth.md response did not match Auth.md v1 agent registration guidance. Content-Type "text/html; charset=UTF-8" is not Markdown or text/plain; missing OAuth Protected Resource Metadata discovery guidance; missing OAuth authorization-server metadata guidance; missing Auth.md credential type guidance; missing agent_verified/user_claimed or claim ceremony guidance.

  2. Validate protected resource metadata

    OAuth Protected Resource Metadata could not be fetched.

  3. Validate Auth.md authorization metadata

    OAuth authorization-server metadata could not be fetched.

Evidence log3 steps · 20 lines
Fetch and validate /auth.md [fail]! auth.md response did not match Auth.md v1 agent registration guidance. Content-Type "text/html; charset=UTF-8" is not Markdown or text/plain; missing OAuth Protected Resource Metadata discovery guidance; missing OAuth authorization-server metadata guidance; missing Auth.md credential type guidance; missing agent_verified/user_claimed or claim ceremony guidance.INFOFetch and validate /auth.mdINFOFetch Auth.md-related resource path="/auth.md" statusCode=200 contentType="text/html; charset=UTF-8" bytes=21002FAILCompare response Content-Type with expected Auth.md media type actual=false expected=trueFAILCompare Auth.md/OAuth metadata validation result actual=false expected=trueFAILCompare Auth.md content length actual=20443 expected=">= 80 characters"WARNAuth.md validation warning warning="missing agent_verified/user_claimed or claim ceremony guidance"FAILAuth.md validation issue issue="auth.md response did not match Auth.md v1 agent registration guidance. Content-Type \"text/html; charset=UTF-8\" is not Markdown or text/plain; missing OAuth Protected Resource Metadata discovery guidance; missing OAuth authorization-server metadata guidance; missing Auth.md credential type guidance; missing agent_verified/user_claimed or claim ceremony guidance."FAILauth.md response did not match Auth.md v1 agent registration guidance. Content-Type "text/html; charset=UTF-8" is not Markdown or text/plain; missing OAuth Protected Resource Metadata discovery guidance; missing OAuth authorization-server metadata guidance; missing Auth.md credential type guidance; missing agent_verified/user_claimed or claim ceremony guidance.Validate protected resource metadata [fail]! OAuth Protected Resource Metadata could not be fetched.INFOValidate protected resource metadataINFOFetch Auth.md-related resource path="/.well-known/oauth-protected-resource" statusCode=404 contentType="text/html; charset=UTF-8" bytes=9183FAILCompare response Content-Type with expected Auth.md media type actual=false expected=trueFAILCompare Auth.md/OAuth metadata validation result actual=false expected=trueFAILAuth.md validation issue issue="OAuth Protected Resource Metadata could not be fetched."FAILOAuth Protected Resource Metadata could not be fetched.Validate Auth.md authorization metadata [fail]! OAuth authorization-server metadata could not be fetched.INFOValidate Auth.md authorization metadataINFOFetch Auth.md-related resource path="/.well-known/oauth-authorization-server" statusCode=404 contentType="text/html; charset=UTF-8" bytes=9185FAILCompare response Content-Type with expected Auth.md media type actual=false expected=trueFAILCompare Auth.md/OAuth metadata validation result actual=false expected=trueFAILAuth.md validation issue issue="OAuth authorization-server metadata could not be fetched."FAILOAuth authorization-server metadata could not be fetched.

Agent Ease of UseSkill DiscoveryEmerging recommendation

agents.json

agents.json failed at "Validate Wildcard schema shape".

75 Fail

Needs attention

agents.json

Failed check
01

Issue

agents.json response is not valid JSON.

02

Why it matters

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.

Check name

agents.json

Score

25/100

Status

fail

Category

Skill Discovery

Maturity

Emerging recommendation

Goal

Publish a Wildcard-style agents.json file so agents can discover OpenAPI-backed workflows, links, examples, and authentication requirements.

Result

agents.json failed at "Validate Wildcard schema shape".

Validation steps

  1. Discover agents.json

    agents.json was found only at the fallback /agents.json path.

  2. Validate Wildcard schema shape

    agents.json response is not valid JSON.

  3. Validate API actions

    Wildcard agents.json must include valid OpenAPI-derived action or operation definitions.

  4. Validate flows and links

    No executable flows were found.

  5. Review examples and LLM usability

    Examples or descriptions are too thin for reliable agent argument generation.

Evidence log5 steps · 23 lines
Discover agents.json [warning]! agents.json was found only at the fallback /agents.json path.INFODiscover agents.jsonINFOTry agents.json discovery paths in priority order paths=["/.well-known/agents.json","/agents.json"]WARNagents.json candidate path did not return a usable contract path="/.well-known/agents.json" statusCode=404 contentType="text/html; charset=UTF-8"PASSFound an agents.json candidate path="/agents.json" statusCode=200 contentType="text/html; charset=UTF-8" bytes=21015WARNSelected fallback agents.json location path="/agents.json" requestedUrl="https://imgbb.com/agents.json"WARNagents.json was found only at the fallback /agents.json path.Validate Wildcard schema shape [fail]! agents.json response is not valid JSON.INFOValidate Wildcard schema shapeINFOParse agents.json and classify contract shape shape="unknown"FAILCompare contract shape actual="unknown" expected="wildcard"FAILCompare missing required schema fields actual="none" expected="none"FAILCompare Content-Type with JSON expectation actual=false expected=trueFAILagents.json response is not valid JSON.Validate API actions [fail]! Wildcard agents.json must include valid OpenAPI-derived action or operation definitions.INFOValidate API actionsFAILCompare API action count actual=0 expected="> 0"FAILCompare invalid action definitions actual=0 expected=0FAILWildcard agents.json must include valid OpenAPI-derived action or operation definitions.Validate flows and links [fail]! No executable flows were found.INFOValidate flows and linksFAILCompare workflow flow count actual=0 expected="> 0"FAILCompare operation link issues actual=0 expected=0FAILNo executable flows were found.Review examples and LLM usability [warning]! Examples or descriptions are too thin for reliable agent argument generation.INFOReview examples and LLM usabilityWARNCompare usable example count actual=0 expected="> 0 when actions are present"WARNExamples or descriptions are too thin for reliable agent argument generation.

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Score history