This record as markdown: /tools/0xyubo-ripple-mcp/generate-impact-report.md
What generate_impact_report does on Ripple-MCP
AI agents call generate_impact_report to retrieve information from Ripple-MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why generate_impact_report is rated Low
This tool reads and aggregates existing scan results, then formats them into a Markdown report. It does not modify, execute, or delete anything; it is a pure read/aggregation operation with no side effects. Severity is low as misuse would at most produce an inaccurate report.
From the tool's definition '将扫描结果聚合成结构化 Markdown 影响分析报告' — aggregates scan results into a structured Markdown impact analysis report
Attacks that exploit this kind of access
The rule that runs generate_impact_report safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ripple-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For generate_impact_report, this is the rule to start with:
generate_impact_report is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ripple-MCP, apply this rule, and every generate_impact_report call is checked against it from then on.
Questions about generate_impact_report
将扫描结果聚合成结构化 Markdown 影响分析报告。. It is categorised as a Read tool in the Ripple-MCP MCP Server, which means it retrieves data without modifying state.
Register the Ripple MCP server in PolicyLayer and add a rule for generate_impact_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 Ripple-MCP. Nothing to install.
generate_impact_report 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_impact_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_impact_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_impact_report is provided by the Ripple MCP server (0xyubo/ripple-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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