Low Risk

get_paper_detail

Get full details for a specific paper including all scores, author info, and citation data.

How to control get_paper_detail ↓

What get_paper_detail does on Paper Scout MCP Server

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

Low Risk

Why get_paper_detail needs a policy

This tool queries and returns information about academic papers (details, scores, author info, citations). It performs a read-only operation analogous to fetching a record. There is no indication of data modification, destruction, code execution, or financial impact. The tool retrieves existing information without side effects, fitting squarely in the Read category.

From the tool's definition Tool description states 'Get full details for a specific paper including all scores, author info, and citation data' — a retrieval operation with no modification, deletion, or side effects.

Documented attack patterns abuse exactly the kind of access get_paper_detail gives an agent:

How to control get_paper_detail

PolicyLayer is an MCP gateway — it sits between your AI agents and Paper Scout MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_paper_detail:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_paper_detail": {}
  }
}

get_paper_detail is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Paper Scout MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_paper_detail

What does the get_paper_detail tool do? +

Get full details for a specific paper including all scores, author info, and citation data. It is categorised as a Read tool in the Paper Scout MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_paper_detail? +

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

What risk level is get_paper_detail? +

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

Can I rate-limit get_paper_detail? +

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

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

get_paper_detail is provided by the Paper Scout MCP Server MCP server (jonradoff/paper-scout). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Paper Scout MCP Server tool call.

Start from Paper Scout MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

10 Paper Scout MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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