Set the default Google Cloud project ID to use for all operations
AI agents use gcp-utils-set-project-id to create or update resources in Google Cloud MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Cloud MCP Server environment.
This tool modifies configuration state (the active project context) which is a reversible write operation. While not destructive, it could cause subsequent Read, Write, or Execute operations to target an unintended project. In the context of an MCP server with access to billing data and Spanner databases, setting the wrong project could misdirect sensitive operations.
From the tool's definition Tool name contains 'set' (modification operation); description states 'Set the default Google Cloud project ID to use for all operations' — this changes configuration state that affects downstream operations.
Documented attack patterns abuse exactly the kind of access gcp-utils-set-project-id gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Google Cloud MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for gcp-utils-set-project-id:
{
"version": "1",
"default": "deny",
"tools": {
"gcp-utils-set-project-id": {
"limits": [
{
"counter": "gcp-utils-set-project-id_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} gcp-utils-set-project-id 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.
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Set the default Google Cloud project ID to use for all operations. It is categorised as a Write tool in the Google Cloud MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Google Cloud MCP Server MCP server in PolicyLayer and add a rule for gcp-utils-set-project-id: 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 MCP Server. Nothing to install.
gcp-utils-set-project-id is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the gcp-utils-set-project-id 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-utils-set-project-id. 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-utils-set-project-id is provided by the Google Cloud MCP Server MCP server (krzko/google-cloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Google Cloud MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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40 Google Cloud MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.