CanAgentUse

CanAgentUse products

MCP ServerInstall CanAgentUse in your coding agent so scan findings become repo-ready fixes.View product WooCommerce PluginPublish UCP discovery and agent-ready commerce signals from WooCommerce without rebuilding checkout.View product Shopify PluginAdd UCP discovery, storefront metadata checks, and controlled cart-to-checkout flows for shopping agents.View product AgentReady CIScan commits and PRs, publish reports, and choose which agent-readiness failures should block merges.View product

CanAgentUse tools

UCP Suite

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

UCP ValidatorUCP Playground

MCP Playground

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

MCP Playground

A2A Playground

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

A2A Playground

Agent Website Viewer

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

Agent Website Viewer
New Scan
https://ifttt.com/
SCANNED
Jul 5, 2026, 12:26 PM
VISIBILITY
Public
SUITE2026.06.10
Rescan Report
Share Report
Copy Report Link
Export Report
68/100

OVERALL SCORE

Level 3, Bot-Aware

Moderate readiness for AI agents
AIDiscoverability57%Agent Easeof Use52%Security& Trust80%GEO, AIO, AEO63%SEO100%Performance98%Accessibility85%
  • AI Discoverability 57 out of 100
  • Agent Ease of Use 52 out of 100
  • Security & Trust 80 out of 100
  • GEO, AIO and AEO 63 out of 100
  • SEO 100 out of 100
  • Performance 98 out of 100
  • Accessibility 85 out of 100

CAPTURED SCREENSHOT

Captured website desktop screenshot

What AI sees of your website

IFTTT - Automate business & home favicon

IFTTT - Automate business & home

IFTTT connects 1,000+ apps and automates them for free — no code needed. Connect Google, Webhooks, Discord, Telegram, Slack and more in minutes.

Open Agent View

Next step

Turn this report into a fix workflow

2 failed checks are ready to move into MCP or CLI remediation. Generate a repair prompt, connect the scanner to your coding agent, or open the integration docs before your next rescan.

Fix with MCP / CLI
Detailed report scores grouped by capability area
MetricScoreStatusPassedFailedWarningEvidence
AI Discoverability
57
Needs work2510View details
Discoverability
67
Needs work800
Content Readiness
63
Needs work1600
Bot Access Control
45
Priority fix110View details
Agent Ease of Use
52
Needs work1842View details
API
65
Needs work500
Auth
63
Needs work800
MCP
40
Priority fix300
Skill Discovery
44
Priority fix132View details
Google Agentic Browsing
50
Needs work110View details
GEO, AIO and AEO
63
Needs work800
GEO Readiness
Not Applicable
Not Applicable200
AIO Readiness
Not Applicable
Not Applicable300
AEO Readiness
Not Applicable
Not Applicable300
SEO
100
Strong1000
SEO
100
Strong1000
Security & Trust
80
Mostly ready2100
Security & Trust
80
Mostly ready2100
Performance
98
Strong1700
Performance
98
Strong1700

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 does not match the expected Wildcard OpenAPI workflow shape.

Details

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.

    agents.json is missing or only available at a fallback path

  2. Validate Wildcard schema shape

    agents.json does not match the expected Wildcard OpenAPI workflow shape.

    agents.json schema shape is invalid or incomplete

  3. Validate API actions

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

    agents.json action definitions are invalid or missing

  4. Validate flows and links

    No executable flows were found.

    agents.json flows or links are invalid

  5. Review examples and LLM usability

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

    agents.json examples or descriptions need improvement
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="application/json; charset=utf-8"PASSFound an agents.json candidate path="/agents.json" statusCode=200 contentType="application/json; charset=utf-8" bytes=29WARNSelected fallback agents.json location path="/agents.json" requestedUrl="https://ifttt.com/agents.json"WARNagents.json was found only at the fallback /agents.json path.Validate Wildcard schema shape [fail]! agents.json does not match the expected Wildcard OpenAPI workflow shape.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=true expected=trueFAILagents.json does not match the expected Wildcard OpenAPI workflow shape.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".

69 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.

Details

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.

    robots.txt lacks explicit AI crawler rules
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=0 allowed=21 unspecified=0

Agent Ease of UseGoogle Agentic BrowsingBrowser audit

Accessibility tree is not well-formed

100 Fail

Check name

Accessibility tree is not well-formed

Score

0/100

Status

fail

Device

desktop

Category

Google Agentic Browsing

Fix guidance

A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page.

Evidence
{
  "description": "A well-formed [accessibility tree](http://goo.gle/lighthouse-agentic-a11y) helps AI agents to navigate and interact with the page."
}

Sign in to see 32 other issues and the full report

Create a free account to unlock every issue, evidence details, exports, and higher free limits.

Email code

Fix with MCP or CLI

Use this report as the handoff into remediation. Generate a coding-agent prompt with the failing checks attached, or jump to the MCP and CLI setup docs before your next rescan.

Fix with MCP / CLI

Score history

Public scan score over time

Public reports for this website origin. Select any point or report link to open that canonical report.

1 reports
Public score history report links
Scan dateScoreReadinessReport
68/100Level 3, Bot-AwareCurrent report