List cluster nodes with status, capacity, and resource usage. Cordon/uncordon/drain nodes.
AI agents invoke k8s_nodes to trigger actions in RedisNexus. 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.
While listing nodes is a Read operation, the ability to cordon (mark unschedulable), uncordon, and drain nodes constitutes Execute-level operations with significant blast radius. Draining a node evicts all running pods, which can cause service disruption in production. These actions are irreversible in the sense that draining actively terminates workloads, though cordoning/uncordoning is reversible.
From the tool's definition Cordon/uncordon/drain nodes — these are operational actions that affect node scheduling and workload placement in a Kubernetes cluster, not merely reads.
Attacks that exploit this kind of access
List cluster nodes with status, capacity, and resource usage. Cordon/uncordon/drain nodes. It is categorised as a Execute tool in the RedisNexus MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the RedisNexus MCP server in PolicyLayer and add a rule for k8s_nodes: 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 RedisNexus. Nothing to install.
k8s_nodes 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 k8s_nodes 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 k8s_nodes. 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.
k8s_nodes is provided by the RedisNexus MCP server (rajkumar-madhu/mcp). 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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