Low Risk

diagnose_ai_visibility

URLを指定すると、そのサイトがAIエージェント(GPT/Claude/Gemini等)からどの程度「見えている」かを診断する。llms.txt、robots.txt(AIクローラー許可)、構造化データ(JSON-LD)、OGPメタタグ、寸法データ表記、越境対応度をチェックし、0-100のスコアとA-Fグレードを返す。越境対応度(cross_border_readiness)は海外AIエージェントへの可視性を評価。AIOエージェンシーのデモとして「御社の商品、AIからこう見えています」と提示できる。

Risk signalsAccepts URL/endpoint input (url)

Part of the AI Furniture & Home Product Hub server.

diagnose_ai_visibility is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call diagnose_ai_visibility to retrieve information from AI Furniture & Home Product Hub without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though diagnose_ai_visibility only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "diagnose_ai_visibility": {}
  }
}

See the full AI Furniture & Home Product Hub policy for all 18 tools.

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These attack patterns abuse exactly the kind of access diagnose_ai_visibility gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so diagnose_ai_visibility only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the diagnose_ai_visibility tool do? +

URLを指定すると、そのサイトがAIエージェント(GPT/Claude/Gemini等)からどの程度「見えている」かを診断する。llms.txt、robots.txt(AIクローラー許可)、構造化データ(JSON-LD)、OGPメタタグ、寸法データ表記、越境対応度をチェックし、0-100のスコアとA-Fグレードを返す。越境対応度(cross_border_readiness)は海外AIエージェントへの可視性を評価。AIOエージェンシーのデモとして「御社の商品、AIからこう見えています」と提示できる。. It is categorised as a Read tool in the AI Furniture & Home Product Hub MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on diagnose_ai_visibility? +

Register the AI Furniture & Home Product Hub MCP server in PolicyLayer and add a rule for diagnose_ai_visibility: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AI Furniture & Home Product Hub. Nothing to install.

What risk level is diagnose_ai_visibility? +

diagnose_ai_visibility is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit diagnose_ai_visibility? +

Yes. Add a rate_limit block to the diagnose_ai_visibility rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block diagnose_ai_visibility completely? +

Set action: deny in the PolicyLayer policy for diagnose_ai_visibility. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides diagnose_ai_visibility? +

diagnose_ai_visibility is provided by the AI Furniture & Home Product Hub MCP server (https://ai-furniture-hub.onrender.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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