bigquery_create_dataset · Google Cloud MCP: Risk & Policy

WHAT IT DOES

What bigquery_create_dataset does on Google Cloud

AI agents use bigquery_create_dataset to create or update resources in Google Cloud — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Google Cloud environment.

WHY IT NEEDS A POLICY

Why bigquery_create_dataset needs a policy

This tool creates a new BigQuery dataset, which is a write operation that modifies the data infrastructure. While reversible (datasets can be deleted), it can impact multiple downstream processes, applications, and analytical pipelines that may depend on dataset naming conventions and structures.

From the tool's definition Tool name 'bigquery_create_dataset' and description 'Create a new BigQuery dataset' indicate creation of a new dataset, which is a reversible data structure modification.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

bigquery_create_dataset Rate-limited

bigquery_create_dataset 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "bigquery_create_dataset": {
      "limits": [
        {
          "counter": "bigquery_create_dataset_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Google Cloud, so you can run agents against it safely.

FAQ

Questions about bigquery_create_dataset

What does the bigquery_create_dataset tool do? +

Create a new BigQuery dataset. It is categorised as a Write tool in the Google Cloud MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on bigquery_create_dataset? +

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

What risk level is bigquery_create_dataset? +

bigquery_create_dataset is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit bigquery_create_dataset? +

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

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

bigquery_create_dataset is provided by the Google Cloud MCP server (lockon-n/google-cloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.