download_semantic

download_semantic

Server Paper Search MCP titansneaker/paper-search-mcp-openai
Category Read
Risk class Low
Parameters 00 required

What download_semantic does on Paper Search MCP

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

Why download_semantic needs a policy

Even though download_semantic only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about download_semantic

What does the download_semantic tool do? +

download_semantic. It is categorised as a Read tool in the Paper Search MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on download_semantic? +

Register the Paper Search MCP server in PolicyLayer and add a rule for download_semantic: 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 Paper Search MCP. Nothing to install.

What risk level is download_semantic? +

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

Can I rate-limit download_semantic? +

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

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

download_semantic is provided by the Paper Search MCP server (titansneaker/paper-search-mcp-openai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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