gcp_run_update_service

Update a Cloud Run service

SERVERGCP MCP Server SOURCEahmedselimmansor-ctrl/gcp_mcp_server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-run-update-service.md

WHAT IT DOES

What gcp_run_update_service does on GCP MCP Server

AI agents use gcp_run_update_service to create or update resources in GCP MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GCP MCP Server environment.

RISK

Why gcp_run_update_service is rated Medium

Updating a Cloud Run service is a reversible write operation (previous revisions are retained and traffic can be redirected back), but the blast radius is high because a misconfigured update can take down a production service, alter traffic routing, change environment variables/secrets, or modify IAM bindings across potentially many users.

From the tool's definition 'Update a Cloud Run service' — modifies an existing Cloud Run service configuration or deployment

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gcp_run_update_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_update_service, this is the rule to start with:

gcp_run_update_service Rate-limited

gcp_run_update_service stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gcp_run_update_service": {
      "limits": [
        {
          "counter": "gcp_run_update_service_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GCP MCP Server, apply this rule, and every gcp_run_update_service call is checked against it from then on.

FAQ

Questions about gcp_run_update_service

What does the gcp_run_update_service tool do? +

Update a Cloud Run service. It is categorised as a Write tool in the GCP MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on gcp_run_update_service? +

Register the GCP MCP Server MCP server in PolicyLayer and add a rule for gcp_run_update_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.

What risk level is gcp_run_update_service? +

gcp_run_update_service is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit gcp_run_update_service? +

Yes. Add a rate_limit block to the gcp_run_update_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.

How do I block gcp_run_update_service completely? +

Set action: deny in the PolicyLayer policy for gcp_run_update_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.

What MCP server provides gcp_run_update_service? +

gcp_run_update_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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