AI agents call get_paper_detail to retrieve information from Library Access MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads and returns bibliographic information about academic papers. It has no side effects, does not modify any data, and presents no destructive, financial, or execution risks. The scope is limited to information retrieval from authenticated library databases.
From the tool's definition Tool retrieves paper metadata (summary, author, keywords, DOI, journal name) without modifying any data. The Chinese description '获取论文详情页的完整摘要、作者、关键词、DOI、期刊名等信息' translates to 'retrieves complete summary, author, keywords, DOI, journal name and other…
Documented attack patterns abuse exactly the kind of access get_paper_detail gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Library Access MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for get_paper_detail:
{
"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.
Free to start. No card required.
获取论文详情页的完整摘要、作者、关键词、DOI、期刊名等信息. It is categorised as a Read tool in the Library Access MCP MCP Server, which means it retrieves data without modifying state.
Register the Library Access 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 Library Access MCP. Nothing to install.
get_paper_detail 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_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.
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.
get_paper_detail is provided by the Library Access MCP server (yang-kun-long/library-access-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Library Access MCP, 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.
7 Library Access MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.