This record as markdown: /tools/com-googleapis-container-mcp/cancel-operation.md
What cancel_operation does on Mcp
AI agents invoke cancel_operation to trigger actions in Mcp. 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
name | string | Yes | Required. The name (project, location, operation id) of the operation to cancel. Specified in the format `projects/*/locations/*/operations/*`. |
parent | string | Yes | Required. The parent cluster of the operation. Specified in the format `projects/*/locations/*/clusters/*`. |
Parameters from the server's own tool schema.
Why cancel_operation is rated High
Cancelling a GKE operation is an external action that interrupts an in-progress process (e.g., cluster creation, upgrade, resize). It is not purely read, and while it may not permanently delete data, it modifies operational state and can have significant side effects (e.g., leaving a cluster in a degraded state).
From the tool's definition 'Cancels a specific GKE operation' — triggers an external cancellation action on a running GKE operation
Attacks that exploit this kind of access
The rule that runs cancel_operation 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 cancel_operation, this is the rule to start with:
cancel_operation 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp, apply this rule, and every cancel_operation call is checked against it from then on.
Questions about cancel_operation
Cancels a specific GKE operation. It is categorised as a Execute tool in the Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
cancel_operation accepts 2 parameters: name, parent. Required: name, parent. 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 cancel_operation: 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.
cancel_operation 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 cancel_operation 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 cancel_operation. 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.
cancel_operation 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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