Retrieve the list of all datasets in the current project with metadata.
AI agents call get_datasets to retrieve information from MCP BigQuery Server 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 datasets (listing and basic information) without creating, modifying, deleting, or executing any operations. It is a straightforward query operation with no side effects, fitting the Read category. Severity is low because exposure of dataset metadata carries minimal risk—an attacker would need further privileges to access actual data or perform destructive actions.
From the tool's definition Tool name 'get_datasets' and description 'Retrieve the list of all datasets in the current project with metadata' indicate a read-only operation that queries metadata without modification or execution of commands.
Attacks that exploit this kind of access
Retrieve the list of all datasets in the current project with metadata. It is categorised as a Read tool in the MCP BigQuery Server MCP Server, which means it retrieves data without modifying state.
Register the MCP BigQuery Server MCP server in PolicyLayer and add a rule for get_datasets: 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 MCP BigQuery Server. Nothing to install.
get_datasets 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 get_datasets 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 get_datasets. 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.
get_datasets is provided by the MCP BigQuery Server MCP server (mousten/mcp-bigquery-server). 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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