生成完整的论文分析报告（Markdown格式），包含摘要、结构、公式、代码与可视化
AI agents use generate_report to create or update resources in Scientific Paper Reading Assistant — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Scientific Paper Reading Assistant environment.
This tool creates and outputs a Markdown report by synthesizing information from other tools on the server (pdf_loader, structure_parser, math_explainer, code_generator, visualization). It is reversible—the report can be deleted, overwritten, or regenerated. No code execution, data destruction, financial operations, or external system modifications occur as a direct side effect of report generation itself.
From the tool's definition Tool description states it 'generates' a 'complete paper analysis report' in Markdown format with summary, structure, formulas, code, and visualizations. The verb 'generate' combined with 'report' indicates creation of new output data.
Documented attack patterns abuse exactly the kind of access generate_report gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Scientific Paper Reading Assistant, and nothing reaches the server without passing your rules. This is the rule we recommend for generate_report:
{
"version": "1",
"default": "deny",
"tools": {
"generate_report": {
"limits": [
{
"counter": "generate_report_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}generate_report stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
生成完整的论文分析报告（Markdown格式），包含摘要、结构、公式、代码与可视化. It is categorised as a Write tool in the Scientific Paper Reading Assistant MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Scientific Paper Reading Assistant MCP server in PolicyLayer and add a rule for generate_report: 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 Scientific Paper Reading Assistant. Nothing to install.
generate_report is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the generate_report 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_report. 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_report is provided by the Scientific Paper Reading Assistant MCP server (lxy-hqu/-mcp-for-paper-read-based-on-ai-ide). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Scientific Paper Reading Assistant, 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 Scientific Paper Reading Assistant tools catalogued and risk-classified — across an index of 43,000+ MCP servers.