自动生成论文摘要
AI agents call generate_paper_summary to retrieve information from Academic MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and processes paper content to produce a summary. It retrieves/analyzes existing data without modifying, deleting, or executing anything. The description indicates it auto-generates a summary of a paper, which is a read/analysis operation. Severity is low as misuse would at most produce an inaccurate summary with no side effects.
From the tool's definition generate_paper_summary / 自动生成论文摘要 (automatically generate paper summary)
Attacks that exploit this kind of access
自动生成论文摘要. It is categorised as a Read tool in the Academic MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Academic MCP Server MCP server in PolicyLayer and add a rule for generate_paper_summary: 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 Academic MCP Server. Nothing to install.
generate_paper_summary 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 generate_paper_summary 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 generate_paper_summary. 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.
generate_paper_summary is provided by the Academic MCP Server MCP server (nanyang12138/academic-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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