progressive_event_analysis
AI agents call progressive_event_analysis to retrieve information from Lumino MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears designed to retrieve and analyze events progressively, consistent with SRE observability patterns. No evidence of write, delete, execute, or financial operations. The 'medium' severity reflects that event analysis in Kubernetes clusters could expose sensitive operational data (secrets in logs, internal architecture details), but without execution or destructive capabilities.
From the tool's definition Tool name 'progressive_event_analysis' suggests iterative analysis/querying of events. No description provided, but context indicates this is part of an observability/debugging suite for Kubernetes/OpenShift.
Attacks that exploit this kind of access
progressive_event_analysis. It is categorised as a Read tool in the Lumino MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Lumino MCP Server MCP server in PolicyLayer and add a rule for progressive_event_analysis: 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 Lumino MCP Server. Nothing to install.
progressive_event_analysis 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 progressive_event_analysis 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 progressive_event_analysis. 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.
progressive_event_analysis is provided by the Lumino MCP Server MCP server (lumino-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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