Low Risk

extract_data

Extract structured data (JSON) from a web page URL using AI via ReviewWeb.site API.

How to control extract_data ↓

What extract_data does on ReviewWebsite MCP Server

AI agents call extract_data to retrieve information from ReviewWebsite MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why extract_data needs a policy

This tool queries and retrieves information from a web page without creating, modifying, or deleting any data. It has no destructive, financial, or code-execution implications. The operation is passive data retrieval, fitting the Read category definition (retrieves or queries data; no side effects). Severity is low because misuse would only expose publicly accessible web content already visible to the AI.

From the tool's definition Tool description states it 'Extract[s] structured data (JSON) from a web page URL' — a retrieval operation with no modification or side effects. The verb 'extract' and context of parsing web page content indicate read-only data extraction.

Documented attack patterns abuse exactly the kind of access extract_data gives an agent:

How to control extract_data

PolicyLayer is an MCP gateway — it sits between your AI agents and ReviewWebsite MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for extract_data:

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

extract_data is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register ReviewWebsite MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

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Related tools and policies

Go deeper

Questions about extract_data

What does the extract_data tool do? +

Extract structured data (JSON) from a web page URL using AI via ReviewWeb.site API. It is categorised as a Read tool in the ReviewWebsite MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_data? +

Register the ReviewWebsite MCP Server MCP server in PolicyLayer and add a rule for extract_data: 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 ReviewWebsite MCP Server. Nothing to install.

What risk level is extract_data? +

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

Can I rate-limit extract_data? +

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

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

extract_data is provided by the ReviewWebsite MCP Server MCP server (mrgoonie/reviewwebsite-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every ReviewWebsite MCP Server tool call.

Start from ReviewWebsite MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

16 ReviewWebsite MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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