gcp_gke_update_cluster

Update a GKE cluster (e.g. enable addons)

SERVERGCP MCP Server SOURCEahmedselimmansor-ctrl/gcp_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/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-gke-update-cluster.md

WHAT IT DOES

What gcp_gke_update_cluster does on GCP MCP Server

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

RISK

Why gcp_gke_update_cluster is rated Medium

This tool modifies GKE cluster settings such as enabling/disabling addons, which affects running infrastructure but is not destructive (changes can be reverted). While the blast radius is significant (cluster-wide configuration changes affecting workloads), it falls into Write rather than Execute because the tool itself doesn't run arbitrary code—it modifies cluster configuration declaratively.

From the tool's definition Tool name 'gcp_gke_update_cluster' and description 'Update a GKE cluster (e.g. enable addons)' indicate modification of cluster configuration. Updates are reversible changes that alter infrastructure state.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gcp_gke_update_cluster safely

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

gcp_gke_update_cluster Rate-limited

gcp_gke_update_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": {
    "gcp_gke_update_cluster": {
      "limits": [
        {
          "counter": "gcp_gke_update_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 GCP MCP Server, apply this rule, and every gcp_gke_update_cluster call is checked against it from then on.

FAQ

Questions about gcp_gke_update_cluster

What does the gcp_gke_update_cluster tool do? +

Update a GKE cluster (e.g. enable addons). It is categorised as a Write tool in the GCP 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 gcp_gke_update_cluster? +

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

What risk level is gcp_gke_update_cluster? +

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

Can I rate-limit gcp_gke_update_cluster? +

Yes. Add a rate_limit block to the gcp_gke_update_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 gcp_gke_update_cluster completely? +

Set action: deny in the PolicyLayer policy for gcp_gke_update_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 gcp_gke_update_cluster? +

gcp_gke_update_cluster is provided by the GCP MCP Server MCP server (ahmedselimmansor-ctrl/gcp_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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