execute-query
Executes a SQL query using BigQuery dialect
Part of the BigQuery MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
WHEN AI AGENTS USE THIS TOOL
AI agents invoke execute-query to trigger processes or run actions in BigQuery. Execute operations can have side effects beyond the immediate call — triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
WHY ENFORCE A POLICY ON EXECUTE-QUERY
execute-query can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
RECOMMENDED POLICY
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
execute-query:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full BigQuery policy for all 3 tools.
DETAILS
MORE BIGQUERY TOOLS
SIMILAR EXECUTE TOOLS ON OTHER SERVERS
call-actor Apify boot_simulator Appium setup_wda Appium install_wda Appium auth0_deploy_action Auth0 auth0_publish_form Auth0 RELATED READING
FREQUENTLY ASKED QUESTIONS
What does the execute-query tool do?
Executes a SQL query using BigQuery dialect. It is categorised as a Execute tool in the BigQuery MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
How do I enforce a policy on execute-query?
Add a rule in your Intercept YAML policy under the tools section for execute-query. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the BigQuery MCP server.
What risk level is execute-query?
execute-query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Can I rate-limit execute-query?
Yes. Add a rate_limit block to the execute-query rule in your Intercept 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 execute-query completely?
Set action: deny in the Intercept policy for execute-query. 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 execute-query?
execute-query is provided by the BigQuery MCP server (mcp-server-bigquery). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
ENFORCE POLICIES ON BIGQUERY
Open source. One binary. Zero dependencies.