Low Risk

extract_schema_markup

Extract and validate schema.org structured data markup

How to control extract_schema_markup ↓

What extract_schema_markup does on MCP Web Scrape

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

Low Risk

Why extract_schema_markup needs a policy

This tool retrieves and parses structured data (schema.org markup) from web pages—a read-only operation with no side effects. Validation is passive analysis. The web scraping context confirms it operates on publicly available page content. No data is modified, code is executed, or external operations triggered based on user input.

From the tool's definition Tool name 'extract_schema_markup' and description 'Extract and validate schema.org structured data markup' indicate retrieval and analysis of existing metadata. No creation, modification, deletion, or execution capabilities are described.

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

How to control extract_schema_markup

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

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

extract_schema_markup 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 MCP Web Scrape — 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.
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Related tools and policies

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Questions about extract_schema_markup

What does the extract_schema_markup tool do? +

Extract and validate schema.org structured data markup. It is categorised as a Read tool in the MCP Web Scrape MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on extract_schema_markup? +

Register the MCP Web Scrape MCP server in PolicyLayer and add a rule for extract_schema_markup: 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 MCP Web Scrape. Nothing to install.

What risk level is extract_schema_markup? +

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

Can I rate-limit extract_schema_markup? +

Yes. Add a rate_limit block to the extract_schema_markup 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_schema_markup completely? +

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

extract_schema_markup is provided by the MCP Web Scrape MCP server (mukul975/mcp-web-scrape). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP Web Scrape tool call.

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

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48 MCP Web Scrape tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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