Get detailed information about a BigQuery dataset
AI agents call bigquery_get_dataset_info to retrieve information from Google Cloud without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves metadata about an existing BigQuery dataset. It performs a read-only query operation that returns information without creating, modifying, deleting, or executing any code.
From the tool's definition Tool name contains 'get' and description states 'Get detailed information about a BigQuery dataset' — a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get detailed information about a BigQuery dataset. It is categorised as a Read tool in the Google Cloud MCP Server, which means it retrieves data without modifying state.
Register the Google Cloud MCP server in PolicyLayer and add a rule for bigquery_get_dataset_info: 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.
bigquery_get_dataset_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the bigquery_get_dataset_info 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 bigquery_get_dataset_info. 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.
bigquery_get_dataset_info 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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