gcp_bq_create_dataset

Create a new BigQuery dataset

SERVERGCP MCP Server SOURCEahmedselimmansor-ctrl/gcp_mcp_server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-bq-create-dataset.md

WHAT IT DOES

What gcp_bq_create_dataset does on GCP MCP Server

AI agents use gcp_bq_create_dataset to create or update resources in GCP MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GCP MCP Server environment.

RISK

Why gcp_bq_create_dataset is rated Medium

Creating a dataset is a reversible write action that establishes a new data container in BigQuery. It does not execute arbitrary code, delete resources, or move money. However, it carries high severity because an AI agent could create datasets that consume storage quota, incur costs through subsequent data ingestion, or introduce organizational clutter requiring cleanup.

From the tool's definition Tool name 'gcp_bq_create_dataset' and description 'Create a new BigQuery dataset' indicate the tool creates a new resource in BigQuery, which is a write operation that modifies cloud infrastructure.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gcp_bq_create_dataset safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GCP MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gcp_bq_create_dataset, this is the rule to start with:

gcp_bq_create_dataset Rate-limited

gcp_bq_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": {
    "gcp_bq_create_dataset": {
      "limits": [
        {
          "counter": "gcp_bq_create_dataset_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GCP MCP Server, apply this rule, and every gcp_bq_create_dataset call is checked against it from then on.

FAQ

Questions about gcp_bq_create_dataset

What does the gcp_bq_create_dataset tool do? +

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

How do I enforce a policy on gcp_bq_create_dataset? +

Register the GCP MCP Server MCP server in PolicyLayer and add a rule for gcp_bq_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 GCP MCP Server. Nothing to install.

What risk level is gcp_bq_create_dataset? +

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

Can I rate-limit gcp_bq_create_dataset? +

Yes. Add a rate_limit block to the gcp_bq_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 gcp_bq_create_dataset completely? +

Set action: deny in the PolicyLayer policy for gcp_bq_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 gcp_bq_create_dataset? +

gcp_bq_create_dataset is provided by the GCP MCP Server MCP server (ahmedselimmansor-ctrl/gcp_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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