Low Risk

gcp-iam-get-project-policy

Retrieve the IAM policy for a Google Cloud project

How to control gcp-iam-get-project-policy ↓

What gcp-iam-get-project-policy does on Google Cloud MCP Server

AI agents call gcp-iam-get-project-policy to retrieve information from Google Cloud MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why gcp-iam-get-project-policy needs a policy

This tool queries and retrieves IAM policy information for a GCP project, which is a read-only operation with no side effects. However, IAM policies are sensitive security-critical data that could reveal access control configuration; if an AI agent obtains and exfiltrates this information, it could enable privilege escalation attacks or social engineering.

From the tool's definition Tool name contains 'get' and description says 'Retrieve the IAM policy'; retrieves policy data without modification.

Documented attack patterns abuse exactly the kind of access gcp-iam-get-project-policy gives an agent:

How to control gcp-iam-get-project-policy

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-iam-get-project-policy:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "gcp-iam-get-project-policy": {}
  }
}

gcp-iam-get-project-policy is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Google Cloud MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about gcp-iam-get-project-policy

What does the gcp-iam-get-project-policy tool do? +

Retrieve the IAM policy for a Google Cloud project. It is categorised as a Read tool in the Google Cloud MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on gcp-iam-get-project-policy? +

Register the Google Cloud MCP Server MCP server in PolicyLayer and add a rule for gcp-iam-get-project-policy: 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.

What risk level is gcp-iam-get-project-policy? +

gcp-iam-get-project-policy is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit gcp-iam-get-project-policy? +

Yes. Add a rate_limit block to the gcp-iam-get-project-policy 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-iam-get-project-policy completely? +

Set action: deny in the PolicyLayer policy for gcp-iam-get-project-policy. 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-iam-get-project-policy? +

gcp-iam-get-project-policy 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.

Enforce policy on every Google Cloud MCP Server tool call.

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.

Free to start. No card required.

40 Google Cloud MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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