▶️ [MODERATE RISK] Execute a saved card query and return results. Use this to get actual data from a card. May take time for complex queries. Risk: Moderate - executes queries that may be slow or resource-intensive. Does not modify data.
AI agents invoke execute_card_query to trigger actions in Metabase MCP Server. 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 executes queries against a database through Metabase. Although it is read-only (does not modify data), execution tools that trigger resource-intensive operations against external systems are classified as Execute rather than Read.
From the tool's definition Tool name contains 'execute' and description states 'Execute a saved card query and return results' and 'executes queries that may be slow or resource-intensive.' The tool runs queries against a Metabase instance, which are external operations whose effects…
Attacks that exploit this kind of access
▶️ [MODERATE RISK] Execute a saved card query and return results. Use this to get actual data from a card. May take time for complex queries. Risk: Moderate - executes queries that may be slow or resource-intensive. Does not modify data. It is categorised as a Execute tool in the Metabase MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Metabase MCP Server MCP server in PolicyLayer and add a rule for execute_card_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 MCP Server. Nothing to install.
execute_card_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_card_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_card_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_card_query is provided by the Metabase MCP Server MCP server (mikela92/metabase-mcp-mab). 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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