AI agents invoke execute_query to trigger actions in Metabase. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool runs SQL queries with effects dependent on the query argument. While the tool itself doesn't inherently delete data, SQL execution can have side effects ranging from data modification to destructive operations depending on what query is supplied.
From the tool's definition Tool name 'execute_query' combined with description 'Execute a native SQL query against a Metabase database' indicates execution of arbitrary SQL code.
Attacks that exploit this kind of access
Execute a native SQL query against a Metabase database. It is categorised as a Execute tool in the Metabase MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Metabase MCP server in PolicyLayer and add a rule for execute_query: 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 Metabase. Nothing to install.
execute_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the execute_query 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 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.
execute_query is provided by the Metabase MCP server (voducdan/matebase-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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