fetch_urls

Retrieve web page content from multiple URLs in parallel using a shared headless Chromium browser context.

Server Server @nest-mcp/server
Category Read
Risk class Low
Parameters 00 required

What fetch_urls does on Server

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

Why fetch_urls needs a policy

This tool fetches and returns data from web pages using a headless browser. There is no indication it modifies, deletes, executes arbitrary code, or performs financial transactions. The parallel fetching with a shared browser context is an implementation detail that doesn't change the fundamental nature of the operation as a read-only retrieval.

From the tool's definition Tool description states 'Retrieve web page content' which is a data retrieval operation with no side effects. The verb 'Retrieve' and the context of 'web page content' clearly indicate a read-only operation.

Questions about fetch_urls

What does the fetch_urls tool do? +

Retrieve web page content from multiple URLs in parallel using a shared headless Chromium browser context. It is categorised as a Read tool in the Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fetch_urls? +

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

What risk level is fetch_urls? +

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

Can I rate-limit fetch_urls? +

Yes. Add a rate_limit block to the fetch_urls 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_urls completely? +

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

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

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