Recycle a node in a Kubernetes cluster
AI agents invoke recycle_kubernetes_node to trigger actions in Linode 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.
Recycling a Kubernetes node is an operational action that drains workloads from an existing node, deletes it, and provisions a replacement. This is an external infrastructure operation with significant blast radius (workloads may be disrupted, pods rescheduled or lost), making it Execute category.
From the tool's definition 'Recycle a node in a Kubernetes cluster' - recycling a node involves draining, deleting, and reprovisioning a Kubernetes node, which triggers external infrastructure operations
Documented attack patterns abuse exactly the kind of access recycle_kubernetes_node gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Linode MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for recycle_kubernetes_node:
{
"version": "1",
"default": "deny",
"tools": {
"recycle_kubernetes_node": {
"limits": [
{
"counter": "recycle_kubernetes_node_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} recycle_kubernetes_node stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Recycle a node in a Kubernetes cluster. It is categorised as a Execute tool in the Linode MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Linode MCP Server MCP server in PolicyLayer and add a rule for recycle_kubernetes_node: 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 Linode MCP Server. Nothing to install.
recycle_kubernetes_node 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 recycle_kubernetes_node 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 recycle_kubernetes_node. 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.
recycle_kubernetes_node is provided by the Linode MCP Server MCP server (takashito/linode-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Linode MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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416 Linode MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.