Low Risk

analyze_url

Submit a URL for AI-readiness analysis. Checks how well the site is structured for AI/LLM crawling (robots.txt, structured data, page speed, content quality, etc.). Returns scores and recommendations. Set wait_for_result=true to wait for completion (up to 60s). Pricing: Free for registered users ...

Risk signalsAccepts URL/endpoint input (url)

Part of the AI Site Scorer server.

analyze_url 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 analyze_url to retrieve information from AI Site Scorer 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 analyze_url 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": {
    "analyze_url": {}
  }
}

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

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so analyze_url 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 analyze_url tool do? +

Submit a URL for AI-readiness analysis. Checks how well the site is structured for AI/LLM crawling (robots.txt, structured data, page speed, content quality, etc.). Returns scores and recommendations. Set wait_for_result=true to wait for completion (up to 60s). Pricing: Free for registered users (100/mo). Anonymous (x402): $0.001 USDC for analysis only; $0.006 USDC combined when enhance=true ($0.001 analyze + $0.005 enhance, charged as a single upfront payment so only one X-PAYMENT header is needed per request).. It is categorised as a Read tool in the AI Site Scorer MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on analyze_url? +

Register the AI Site Scorer MCP server in PolicyLayer and add a rule for analyze_url: 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 Site Scorer. Nothing to install.

What risk level is analyze_url? +

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

Can I rate-limit analyze_url? +

Yes. Add a rate_limit block to the analyze_url 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 analyze_url completely? +

Set action: deny in the PolicyLayer policy for analyze_url. 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 analyze_url? +

analyze_url is provided by the AI Site Scorer MCP server (https://ai-readiness.mingles.ai/api/mcp/). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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