list_services

List Cloud Run services in a given Google Cloud project and region.

SERVERGoogle Cloud Run SOURCEhttps://run.googleapis.com/mcp

Low RISK CLASS

Category Read

Parameters 22 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-googleapis-run-mcp/list-services.md

WHAT IT DOES

What list_services does on Google Cloud Run

AI agents call list_services to retrieve information from Google Cloud Run without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required	Description
`region`	string	Yes	Required. The region to list the Services from.
`project`	string	Yes	Required. The project ID or project number to list the Services from.

Parameters from the server's own tool schema.

RISK

Why list_services is rated Low

This tool retrieves information about Cloud Run services (list operation). It has no side effects and merely enumerates existing resources. Even if an AI agent misuses it by listing services it shouldn't have access to, the blast radius is limited to information disclosure of service names and metadata. No data is modified, destroyed, or financial operations are triggered.

From the tool's definition The tool name is 'list_services' and the description states it 'List[s] Cloud Run services in a given Google Cloud project and region.' This is a read-only operation that retrieves and queries existing service metadata without modifying, executing, or…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs list_services safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Google Cloud Run, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_services, this is the rule to start with:

list_services Allowed

list_services is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "list_services": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Google Cloud Run, apply this rule, and every list_services call is checked against it from then on.

FAQ

Questions about list_services

What does the list_services tool do? +

List Cloud Run services in a given Google Cloud project and region. It is categorised as a Read tool in the Google Cloud Run MCP Server, which means it retrieves data without modifying state.

What parameters does list_services accept? +

list_services accepts 2 parameters: region, project. Required: region, project. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on list_services? +

Register the Google Cloud Run MCP server in PolicyLayer and add a rule for list_services: 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 Google Cloud Run. Nothing to install.

What risk level is list_services? +

list_services is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit list_services? +

Yes. Add a rate_limit block to the list_services 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 list_services completely? +

Set action: deny in the PolicyLayer policy for list_services. 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 list_services? +

list_services is provided by the Google Cloud Run MCP server (https://run.googleapis.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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