recycle_kubernetes_nodes

Recycle specified nodes in a node pool

SERVERLinode MCP Server SOURCEtakashito/linode-mcp-server

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/takashito-linode-mcp-server/recycle-kubernetes-nodes.md

WHAT IT DOES

What recycle_kubernetes_nodes does on Linode MCP Server

AI agents invoke recycle_kubernetes_nodes 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.

RISK

Why recycle_kubernetes_nodes is rated High

Recycling Kubernetes nodes involves terminating existing node instances and spinning up new ones. This is an operational action with significant side effects (workload interruption, pod eviction, temporary capacity reduction) but is generally recoverable, placing it in Execute rather than Destructive. Misuse by an AI agent could cause service disruption across a Kubernetes cluster, warranting high severity.

From the tool's definition 'Recycle specified nodes in a node pool' — recycling nodes terminates and recreates compute instances, causing workload disruption

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs recycle_kubernetes_nodes safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Linode MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For recycle_kubernetes_nodes, this is the rule to start with:

recycle_kubernetes_nodes Rate-limited

recycle_kubernetes_nodes 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "recycle_kubernetes_nodes": {
      "limits": [
        {
          "counter": "recycle_kubernetes_nodes_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Linode MCP Server, apply this rule, and every recycle_kubernetes_nodes call is checked against it from then on.

FAQ

Questions about recycle_kubernetes_nodes

What does the recycle_kubernetes_nodes tool do? +

Recycle specified nodes in a node pool. 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.

How do I enforce a policy on recycle_kubernetes_nodes? +

Register the Linode MCP Server MCP server in PolicyLayer and add a rule for recycle_kubernetes_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 Linode MCP Server. Nothing to install.

What risk level is recycle_kubernetes_nodes? +

recycle_kubernetes_nodes is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit recycle_kubernetes_nodes? +

Yes. Add a rate_limit block to the recycle_kubernetes_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.

How do I block recycle_kubernetes_nodes completely? +

Set action: deny in the PolicyLayer policy for recycle_kubernetes_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.

What MCP server provides recycle_kubernetes_nodes? +

recycle_kubernetes_nodes 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.

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