Lists available Google Cloud projects that the authenticated user has access to
AI agents call listProjects to retrieve information from Google Cloud Logging MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation that enumerates available GCP projects accessible to the authenticated user. It retrieves data without creating, modifying, deleting, or executing any operations. The blast radius of misuse is minimal—an AI agent listing projects it already has access to poses no security risk beyond potential information disclosure of project names the user already knows about.
From the tool's definition Tool name 'listProjects' and description 'Lists available Google Cloud projects that the authenticated user has access to' indicate a query operation that retrieves information without modification or side effects.
Documented attack patterns abuse exactly the kind of access listProjects gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Google Cloud Logging MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for listProjects:
{
"version": "1",
"default": "deny",
"tools": {
"listProjects": {}
}
}listProjects is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Lists available Google Cloud projects that the authenticated user has access to. It is categorised as a Read tool in the Google Cloud Logging MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Google Cloud Logging MCP Server MCP server in PolicyLayer and add a rule for listProjects: 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 Logging MCP Server. Nothing to install.
listProjects 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 listProjects 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 listProjects. 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.
listProjects is provided by the Google Cloud Logging MCP Server MCP server (swen128/cloud-logging-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Google Cloud Logging MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
3 Google Cloud Logging MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.