update_kubernetes_cluster

Update an existing Kubernetes cluster

SERVERLinode MCP Server SOURCEtakashito/linode-mcp-server

Medium RISK CLASS

Category Write

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/update-kubernetes-cluster.md

WHAT IT DOES

What update_kubernetes_cluster does on Linode MCP Server

AI agents use update_kubernetes_cluster to create or update resources in Linode MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Linode MCP Server environment.

RISK

Why update_kubernetes_cluster is rated Medium

This tool modifies Kubernetes cluster configuration/state but does not irreversibly delete data (which would be Destructive) nor execute arbitrary code/commands (which would be Execute). Updates to production Kubernetes clusters carry high risk due to potential service disruption, application downtime, or configuration errors affecting multiple workloads, but the action is reversible through subsequent updates.

From the tool's definition Tool name is 'update_kubernetes_cluster' and description states 'Update an existing Kubernetes cluster'. The verb 'update' indicates modification of existing infrastructure.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_kubernetes_cluster 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 update_kubernetes_cluster, this is the rule to start with:

update_kubernetes_cluster Rate-limited

update_kubernetes_cluster stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_kubernetes_cluster": {
      "limits": [
        {
          "counter": "update_kubernetes_cluster_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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 update_kubernetes_cluster call is checked against it from then on.

FAQ

Questions about update_kubernetes_cluster

What does the update_kubernetes_cluster tool do? +

Update an existing Kubernetes cluster. It is categorised as a Write tool in the Linode MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on update_kubernetes_cluster? +

Register the Linode MCP Server MCP server in PolicyLayer and add a rule for update_kubernetes_cluster: 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 update_kubernetes_cluster? +

update_kubernetes_cluster is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_kubernetes_cluster? +

Yes. Add a rate_limit block to the update_kubernetes_cluster 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 update_kubernetes_cluster completely? +

Set action: deny in the PolicyLayer policy for update_kubernetes_cluster. 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 update_kubernetes_cluster? +

update_kubernetes_cluster 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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