analyze_failed_pipeline
AI agents call analyze_failed_pipeline 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 name and server context (Tekton debugging, SRE observability) indicate this tool analyzes and retrieves data about failed CI/CD pipelines—a read operation. The empty description lowers confidence from high to medium.
From the tool's definition Tool name 'analyze_failed_pipeline' and server context (Tekton debugging tools for Kubernetes/OpenShift observability) suggest it queries pipeline execution state and logs.
Attacks that exploit this kind of access
analyze_failed_pipeline. 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 analyze_failed_pipeline: 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.
analyze_failed_pipeline 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_failed_pipeline 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_failed_pipeline. 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_failed_pipeline 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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