AI agents call gcloud_list_revisions to retrieve information from Gcloud without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves metadata about Cloud Run service revisions (deployment history, image tags, creation times, scaling config). It has no side effects, does not execute code, does not modify data, and does not delete anything. It is a straightforward read operation. Severity is low because even if misused, listing revisions cannot damage infrastructure or trigger unintended deployments.
From the tool's definition Tool name 'gcloud_list_revisions' and description states it 'List[s] Cloud Run revisions' and 'Shows deployment history' — purely a retrieval operation with no modification or execution of resources.
Attacks that exploit this kind of access
List Cloud Run revisions for a service. Shows deployment history with image tags, creation times, and scaling config. It is categorised as a Read tool in the Gcloud MCP Server, which means it retrieves data without modifying state.
Register the Gcloud MCP server in PolicyLayer and add a rule for gcloud_list_revisions: 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 Gcloud. Nothing to install.
gcloud_list_revisions is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the gcloud_list_revisions 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 gcloud_list_revisions. 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.
gcloud_list_revisions is provided by the Gcloud MCP server (prmichaelsen/gcloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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