io.github.agentready-market/audit
io.github.agentready-market/audit · v1.0.1
AgentReady.market audit: can an AI shopping agent find, understand and BUY on this store? /100.
MCPremoteno credentialsE-commerce
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 3 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
A 100/100
What it does: 3 tools · 3 read, 0 write · E-commerce
Test call list_agent_ready_stores: worked (2,625 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: +20
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://www.agentready.market/mcpTools
3 tools listed at last check
check_merchant_readinessCheck whether an AI shopping agent can find, understand and BUY on an e-commerce store: AgentReady's deterministic agent-readiness score /100 for a host, with grade, hard-block status (capped = agents are blocked at the door; orders_blocked also covers a block the score can't see, such as shopping aget_readiness_reportThe latest public agent-readiness report for a scanned store: every check with its status (pass/partial/fail) across access & crawlability, structured data and catalog pillars, plus score, grade and report link. Same visibility as the public web report.list_agent_ready_storesThe AgentReady.market Index: e-commerce stores where an AI shopping agent can actually buy (grade B or better and no block found), ranked by agent-readiness score /100. Use it to route a purchase toward a store agents are known to succeed on, or to benchmark a store against its peers. Optionally fil
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Markdown for your README
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