fetch_paper

Request a web page, return the paper from that web page

Server McpDeepResearch pb-207/mcp-deep-research
Category Read
Risk class Low
Parameters 00 required

What fetch_paper does on McpDeepResearch

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

Why fetch_paper needs a policy

This tool fetches and retrieves paper content from a web page, which is a read-only operation. It has no side effects—it does not create, modify, delete, or execute anything. The action is purely informational retrieval of academic papers. Severity is low because the blast radius of misuse (e.g., fetching unintended papers) is limited to information disclosure without destructive or financial impact.

From the tool's definition Tool name 'fetch_paper' and description 'Request a web page, return the paper from that web page' indicate retrieval of content with no modification or deletion.

Questions about fetch_paper

What does the fetch_paper tool do? +

Request a web page, return the paper from that web page. It is categorised as a Read tool in the McpDeepResearch MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on fetch_paper? +

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

What risk level is fetch_paper? +

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

Can I rate-limit fetch_paper? +

Yes. Add a rate_limit block to the fetch_paper 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_paper completely? +

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

fetch_paper is provided by the McpDeepResearch MCP server (pb-207/mcp-deep-research). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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