gcp_build_cancel_build
Cancel a running Cloud Build build
This record as markdown: /tools/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-build-cancel-build.md
What gcp_build_cancel_build does on GCP MCP Server
AI agents invoke gcp_build_cancel_build to trigger actions in GCP 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.
Why gcp_build_cancel_build is rated High
This tool triggers an external operation (cancellation of a Cloud Build build) with effects that depend on which build is targeted. While cancellation itself is technically reversible (the build can be restarted), it immediately halts an in-progress operation and is categorized as Execute rather than Write because it acts upon an external service's runtime state.
From the tool's definition Tool name 'gcp_build_cancel_build' and description 'Cancel a running Cloud Build build' indicate an action that terminates an external operation (a build process) whose side effects are not reversible—once cancelled, the build stops and resources are released.
Attacks that exploit this kind of access
The rule that runs gcp_build_cancel_build 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_build_cancel_build, this is the rule to start with:
gcp_build_cancel_build 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 GCP MCP Server, apply this rule, and every gcp_build_cancel_build call is checked against it from then on.
Questions about gcp_build_cancel_build
Cancel a running Cloud Build build. It is categorised as a Execute tool in the GCP MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the GCP MCP Server MCP server in PolicyLayer and add a rule for gcp_build_cancel_build: 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.
gcp_build_cancel_build 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 gcp_build_cancel_build 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 gcp_build_cancel_build. 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.
gcp_build_cancel_build 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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