fetch_url

Fetch the contents of a URL and return it as plain text.

Server MCP Tools joehuangcoding/mcp-tools
Category Read
Risk class Low
Parameters 00 required

What fetch_url does on MCP Tools

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

Why fetch_url needs a policy

This tool retrieves data from a remote URL and returns it without side effects. It is a read-only operation that queries/fetches content. The primary risk is potential information disclosure if the URL points to sensitive data, but the blast radius is limited as the tool itself performs no destructive, financial, or code-execution actions. Severity is low because exposure is limited to passive data retrieval.

From the tool's definition Tool name 'fetch_url' and description 'Fetch the contents of a URL and return it as plain text' indicate a retrieval operation with no modification or execution.

Questions about fetch_url

What does the fetch_url tool do? +

Fetch the contents of a URL and return it as plain text. It is categorised as a Read tool in the MCP Tools MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fetch_url? +

Register the MCP Tools MCP server in PolicyLayer and add a rule for fetch_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 MCP Tools. Nothing to install.

What risk level is fetch_url? +

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

Can I rate-limit fetch_url? +

Yes. Add a rate_limit block to the fetch_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 fetch_url completely? +

Set action: deny in the PolicyLayer policy for fetch_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 fetch_url? +

fetch_url is provided by the MCP Tools MCP server (joehuangcoding/mcp-tools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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