gcp_run_get_service
Get details of a Cloud Run service
This record as markdown: /tools/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-run-get-service.md
What gcp_run_get_service does on GCP MCP Server
AI agents call gcp_run_get_service to retrieve information from GCP MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why gcp_run_get_service is rated Low
This tool only reads and returns metadata/configuration details about a Cloud Run service. It performs no modifications, deletions, or executions. Misuse by an AI agent would at most expose configuration details, making the blast radius low.
From the tool's definition "Get details of a Cloud Run service" — retrieves information with no side effects
Attacks that exploit this kind of access
The rule that runs gcp_run_get_service 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_run_get_service, this is the rule to start with:
gcp_run_get_service is read-only, so it stays allowed. 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_run_get_service call is checked against it from then on.
Questions about gcp_run_get_service
Get details of a Cloud Run service. It is categorised as a Read tool in the GCP MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GCP MCP Server MCP server in PolicyLayer and add a rule for gcp_run_get_service: 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_run_get_service 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 gcp_run_get_service 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_run_get_service. 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_run_get_service 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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