update_node_pool
Updates a specific node pool within a GKE cluster.
This record as markdown: /tools/com-googleapis-container-mcp/update-node-pool.md
What update_node_pool does on Mcp
AI agents use update_node_pool to create or update resources in Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Mcp environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Required. The name (project, location, cluster, node pool) of the node pool to update. Specified in the format 'projects/*/locations/*/clusters/*/nodePools/*'. |
update | string | Yes | Required. A [node pool update request](https://cloud.google.com/container-engine/reference/rest/v1/projects.locations.clusters.nodePools/update) represented as |
Parameters from the server's own tool schema.
Why update_node_pool is rated Medium
This tool modifies existing GKE infrastructure (node pool configuration) in a way that is reversible and does not permanently delete resources. It falls under Write rather than Execute because it configures managed resources rather than running arbitrary code.
From the tool's definition 'Updates a specific node pool within a GKE cluster' — modifies cluster infrastructure configuration. Node pool updates affect compute resources, autoscaling settings, labels, and other reversible properties.
Attacks that exploit this kind of access
The rule that runs update_node_pool safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_node_pool, this is the rule to start with:
update_node_pool 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every update_node_pool call is checked against it from then on.
Questions about update_node_pool
Updates a specific node pool within a GKE cluster. It is categorised as a Write tool in the Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
update_node_pool accepts 2 parameters: name, update. Required: name, update. The full parameter table on this page comes from the server's own tool schema.
Register the MCP server in PolicyLayer and add a rule for update_node_pool: 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 Mcp. Nothing to install.
update_node_pool is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_node_pool 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 update_node_pool. 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.
update_node_pool is provided by the MCP server (https://container.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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