获取论文详细信息，支持多种 ID 格式（Semantic Scholar ID、DOI、ArXiv ID、PMID 等）
AI agents call get_paper to retrieve information from Semanticscholar without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries academic paper metadata from the Semantic Scholar database without any side effects or modifications. It is purely informational lookup—no data is created, modified, deleted, or executed. The ability to accept multiple ID formats (Semantic Scholar ID, DOI, ArXiv ID, PMID) confirms it is a read-only fetch operation.
From the tool's definition Tool name 'get_paper' and description stating '获取论文详细信息' (retrieve paper detailed information) with support for multiple ID formats indicates data retrieval functionality. The description contains no mutation, deletion, execution, or financial keywords.
Documented attack patterns abuse exactly the kind of access get_paper gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Semanticscholar, and nothing reaches the server without passing your rules. This is the rule we recommend for get_paper:
{
"version": "1",
"default": "deny",
"tools": {
"get_paper": {}
}
}get_paper is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
获取论文详细信息，支持多种 ID 格式（Semantic Scholar ID、DOI、ArXiv ID、PMID 等）. It is categorised as a Read tool in the Semanticscholar MCP Server, which means it retrieves data without modifying state.
Register the Semanticscholar MCP server in PolicyLayer and add a rule for get_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 Semanticscholar. Nothing to install.
get_paper is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_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.
Set action: deny in the PolicyLayer policy for get_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.
get_paper is provided by the Semanticscholar MCP server (xbghc/semanticscholar-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Semanticscholar, 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.
9 Semanticscholar tools catalogued and risk-classified — across an index of 43,000+ MCP servers.