Execute a standardized SRE runbook.
AI agents invoke run_runbook to trigger actions in Kubernetes + Prometheus SRE MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool runs executable procedures in a Kubernetes/SRE context. While labeled 'standardized,' runbooks often perform kubectl apply, service restarts, pod terminations, or traffic redirects whose outcomes depend on arguments and configuration. These are reversible but high-impact operations (not Destructive per se, but consequential). Misuse could disrupt production services, cause downtime, or drain resources.
From the tool's definition Tool description states 'Execute a standardized SRE runbook' — the word 'Execute' directly indicates code or operational execution.
Attacks that exploit this kind of access
Execute a standardized SRE runbook. It is categorised as a Execute tool in the Kubernetes + Prometheus SRE MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Kubernetes + Prometheus SRE MCP Server MCP server in PolicyLayer and add a rule for run_runbook: 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 Kubernetes + Prometheus SRE MCP Server. Nothing to install.
run_runbook is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the run_runbook 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 run_runbook. 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.
run_runbook is provided by the Kubernetes + Prometheus SRE MCP Server MCP server (manishmaurya22/sre-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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