gcp_run_list_jobs
List Cloud Run jobs
This record as markdown: /tools/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-run-list-jobs.md
What gcp_run_list_jobs does on GCP MCP Server
AI agents call gcp_run_list_jobs 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_list_jobs is rated Low
Listing Cloud Run jobs is a purely read operation. It queries and returns information about existing jobs without creating, modifying, executing, or deleting anything. Misuse has minimal blast radius as no state is changed.
From the tool's definition 'List Cloud Run jobs' — this is a read/query operation that retrieves existing job listings with no side effects.
Attacks that exploit this kind of access
The rule that runs gcp_run_list_jobs 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_list_jobs, this is the rule to start with:
gcp_run_list_jobs 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_list_jobs call is checked against it from then on.
Questions about gcp_run_list_jobs
List Cloud Run jobs. 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_list_jobs: 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_list_jobs 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_list_jobs 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_list_jobs. 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_list_jobs 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.
More on GCP MCP Server, and thousands of servers like it.
This server
Across the catalogue