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 27, 2026, 4:54 PM
VISIBILITY
Public
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46/100

OVERALL SCORE

Level 2, Agent-Limited

Priority improvements needed for AI agents
AIDiscoverability36%Agent Easeof Use45%Security& Trust47%GEO, AIO, AEO18%SEO58%Performance100%Accessibility36%
  • AI Discoverability 36 out of 100
  • Agent Ease of Use 45 out of 100
  • Security & Trust 47 out of 100
  • GEO, AIO and AEO 18 out of 100
  • SEO 58 out of 100
  • Performance 100 out of 100
  • Accessibility 36 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

微博 favicon

微博

No page metadata or readable excerpt was captured.

Open Agent View

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Fix with MCP / CLI
Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
36
Priority fix1431View details
Discoverability
48
Priority fix500
Content Readiness
13
Priority fix700
Bot Access Control
44
Priority fix231View details
Agent Ease of Use
45
Priority fix832View details
API
50
Needs work400
MCP
37
Priority fix300
Skill Discovery
44
Priority fix132View details
GEO, AIO and AEO
18
Priority fix200
AIO Readiness
Not Applicable
Not Applicable200
SEO
58
Needs work700
SEO
58
Needs work700
Security & Trust
47
Priority fix900
Security & Trust
47
Priority fix900
Performance
100
Strong2100
Performance
100
Strong2100

Prioritized recommendations

Issues ranked by score impact

3 items need attention

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=7547WARNSelected fallback agents.json location path="/agents.json" requestedUrl="https://weibo.cn/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.

AI DiscoverabilityBot Access ControlEstablished

AI bot rules in robots.txt

AI bot rules in robots.txt failed at "Classify AI crawler rules".

35 Fail

Needs attention

AI bot rules in robots.txt

Failed check
01

Issue

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

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

31/100

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 "Classify AI crawler rules".

Validation steps

  1. Classify AI crawler rules

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

Evidence log1 step · 6 lines
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=21 allowed=0 unspecified=0

AI DiscoverabilityBot Access ControlEmerging recommendation

ai.txt policy

ai.txt policy failed at "Validate transport".

31 Fail

Needs attention

ai.txt policy

Failed check
01

Issue

ai.txt appears to be an HTML page or error document rather than a plain-text policy.

02

Why it matters

ai.txt is a fragmented emerging convention. It can communicate human-readable AI crawling, training, attribution, restriction, and contact guidance, but it is not a standard access-control mechanism and absence should not be penalized.

Check name

ai.txt policy

Score

38/100

Status

fail

Category

Bot Access Control

Maturity

Emerging recommendation

Goal

Publish an advisory human-readable AI usage policy only when the site intentionally needs one.

Result

ai.txt policy failed at "Validate transport".

Validation steps

  1. Validate transport

    ai.txt appears to be an HTML page or error document rather than a plain-text policy.

  2. Parse ai.txt policy

    Transport validation failed before policy parsing could be trusted.

  3. Validate policy content

    ai.txt does not follow the AI Visibility section model; treating it as non-standard advisory text.

Evidence log3 steps · 14 lines
Validate transport [fail]! ai.txt appears to be an HTML page or error document rather than a plain-text policy.INFOValidate transportINFOChecking ai.txt media type, size, line count, and whether the response looks like plain text contentType="text/html; charset=utf-8" length=7547 lineCount=1FAILCompare media type to preferred text/plain transport actual="text/html" expected="text/plain preferred; readable text required"FAILai.txt appears to be an HTML page or error document rather than a plain-text policy.Parse ai.txt policy [fail]! Transport validation failed before policy parsing could be trusted.INFOParse ai.txt policyINFODetecting ai.txt convention from bracket sections, frontmatter, headings, and ai.txt context linksINFODetected policy structure convention="unknown-text" sections=[] markdownHeadings=[]WARNCheck AI Visibility required sections actual="missing identity, permissions, restrictions" expected="identity, permissions, and restrictions" missingRecommended=["attribution","contact","content-types"]WARNTransport validation failed before policy parsing could be trusted.Validate policy content [warning]! ai.txt does not follow the AI Visibility section model; treating it as non-standard advisory text.INFOValidate policy contentINFOChecking required section content, permission/restriction language, attribution, contact details, and safety risks convention="unknown-text"INFODetected policy signals hasPermissionLanguage=false hasRestrictionLanguage=false hasTrainingLanguage=false hasAttributionLanguage=false hasContact=falseWARNCheck required and recommended section coverage actual={"missingRequired":["identity","permissions","restrictions"],"missingRecommended":["attribution","contact","content-types"]} expected={"missingRequired":[],"recommendedPresentWhenPossible":true}WARNai.txt does not follow the AI Visibility section model; treating it as non-standard advisory text.

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Score history