get_dashboard_details

Get full details for a specific dashboard, including its dashcards and parameters.

Server Metabase MCP Server traghav/metabase-server
Category Read
Risk class Low
Parameters 00 required

What get_dashboard_details does on Metabase MCP Server

AI agents call get_dashboard_details to retrieve information from Metabase MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_dashboard_details needs a policy

This tool retrieves and displays dashboard metadata and configuration. It performs a query operation that does not modify, delete, or execute any data or code. The action is non-destructive information retrieval, fitting the Read category (low severity) as misuse would only expose existing dashboard information rather than cause operational impact.

From the tool's definition Tool description states 'Get full details for a specific dashboard, including its dashcards and parameters' — explicitly a retrieval operation with no modification or execution implied. No side effects mentioned.

Questions about get_dashboard_details

What does the get_dashboard_details tool do? +

Get full details for a specific dashboard, including its dashcards and parameters. It is categorised as a Read tool in the Metabase MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_dashboard_details? +

Register the Metabase MCP Server MCP server in PolicyLayer and add a rule for get_dashboard_details: 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.

What risk level is get_dashboard_details? +

get_dashboard_details is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_dashboard_details? +

Yes. Add a rate_limit block to the get_dashboard_details 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.

How do I block get_dashboard_details completely? +

Set action: deny in the PolicyLayer policy for get_dashboard_details. 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 get_dashboard_details? +

get_dashboard_details is provided by the Metabase MCP Server MCP server (traghav/metabase-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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