完整分析本地或在线PDF论文
AI agents call analyze_local_paper 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 retrieves and analyzes academic papers without creating, modifying, deleting, executing arbitrary code, or moving money. It performs data extraction and analysis on existing papers, which are read-category operations. The low severity reflects minimal blast radius: even if misused by an AI agent, it only consumes data and produces analysis without side effects to systems or data integrity.
From the tool's definition Tool description states '完整分析本地或在线PDF论文' (comprehensively analyze local or online PDF papers). Related sibling tools include 'analyze_citation_network', 'extract_pdf_fulltext', 'extract_text_from_pdf', and 'extract_key_information', all of which are clearly…
Attacks that exploit this kind of access
完整分析本地或在线PDF论文. 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 analyze_local_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 Academic MCP Server. Nothing to install.
analyze_local_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 analyze_local_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 analyze_local_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.
analyze_local_paper 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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