fetch_page

Fetch a single web page and return its readable content as Markdown, plain text, or raw HTML.

Server Crawler shadab15github/crawler-mcp
Category Read
Risk class Low
Parameters 00 required

What fetch_page does on Crawler

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

Why fetch_page needs a policy

fetch_page retrieves and parses web content but does not create, modify, delete, or execute operations on the target system. It is purely a data retrieval operation with no side effects, making it a Read category tool. Severity is low because misuse would only expose publicly accessible web content, not cause damage or compromise assets.

From the tool's definition Tool description states it 'Fetch a single web page and return its readable content' — retrieves data with no modification, deletion, or code execution.

Questions about fetch_page

What does the fetch_page tool do? +

Fetch a single web page and return its readable content as Markdown, plain text, or raw HTML. It is categorised as a Read tool in the Crawler MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fetch_page? +

Register the Crawler MCP server in PolicyLayer and add a rule for fetch_page: 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 Crawler. Nothing to install.

What risk level is fetch_page? +

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

Can I rate-limit fetch_page? +

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

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

fetch_page is provided by the Crawler MCP server (shadab15github/crawler-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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