List all tables in the BigQuery thelook_ecommerce dataset with their schemas.
AI agents call list_bigquery_tables to retrieve information from GCP Sales Analytics MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a metadata discovery operation that retrieves schema information only. It has no side effects, does not modify data, execute code, or trigger external operations. The blast radius of misuse is minimal—an agent could discover table structures but cannot access data content or perform destructive actions without separate query tools.
From the tool's definition Tool lists tables and schemas without modification: 'List all tables in the BigQuery thelook_ecommerce dataset with their schemas.' No create, update, delete, or execute operations are described.
Attacks that exploit this kind of access
List all tables in the BigQuery thelook_ecommerce dataset with their schemas. It is categorised as a Read tool in the GCP Sales Analytics MCP Server MCP Server, which means it retrieves data without modifying state.
Register the GCP Sales Analytics MCP Server MCP server in PolicyLayer and add a rule for list_bigquery_tables: 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 Sales Analytics MCP Server. Nothing to install.
list_bigquery_tables 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 list_bigquery_tables 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 list_bigquery_tables. 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.
list_bigquery_tables is provided by the GCP Sales Analytics MCP Server MCP server (miames/gcp_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.
Teams ship this data inside their own products. See what a licence covers →