Low Risk

bucket_exists

Check if a bucket exists.

How to control bucket_exists ↓

What bucket_exists does on Gcp Storage

AI agents call bucket_exists to retrieve information from Gcp Storage without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why bucket_exists needs a policy

This is a simple existence check operation with no mutative effects. It only queries the state of a resource (whether a bucket exists) and returns a boolean result. No data is created, modified, deleted, or at risk of being affected. This is a classic Read operation with minimal blast radius if misused.

From the tool's definition Tool name 'bucket_exists' and description 'Check if a bucket exists' indicate a query operation that retrieves existence status without modifying any data or triggering side effects.

Documented attack patterns abuse exactly the kind of access bucket_exists gives an agent:

How to control bucket_exists

PolicyLayer is an MCP gateway — it sits between your AI agents and Gcp Storage, and nothing reaches the server without passing your rules. This is the rule we recommend for bucket_exists:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "bucket_exists": {}
  }
}

bucket_exists 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 Gcp Storage — 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 bucket_exists

What does the bucket_exists tool do? +

Check if a bucket exists. It is categorised as a Read tool in the Gcp Storage MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on bucket_exists? +

Register the Gcp Storage MCP server in PolicyLayer and add a rule for bucket_exists: 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 Storage. Nothing to install.

What risk level is bucket_exists? +

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

Can I rate-limit bucket_exists? +

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

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

bucket_exists is provided by the Gcp Storage MCP server (uysalserkan/gcp-storage-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gcp Storage tool call.

Start from Gcp Storage, 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.

23 Gcp Storage tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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