delete_dashboard

Delete a dashboard from Directus by ID. This action cannot be undone.

Server Directus MCP Server skeyelab/directus-mcp-server
Category Destructive
Risk class Critical
Parameters 00 required

What delete_dashboard does on Directus MCP Server

AI agents call delete_dashboard to permanently remove resources in Directus MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Why delete_dashboard needs a policy

The tool permanently removes a dashboard without recovery option. While the blast radius is scoped to a single dashboard rather than bulk data deletion, the irreversible nature and explicit warning that the action 'cannot be undone' places this squarely in the Destructive category rather than Write. An AI agent misusing this could permanently destroy dashboards configured by users, with no undo capability.

From the tool's definition 'Delete a dashboard from Directus by ID. This action cannot be undone.' - explicitly states the action is irreversible and cannot be undone, meeting the definition of destructive operations.

Questions about delete_dashboard

What does the delete_dashboard tool do? +

Delete a dashboard from Directus by ID. This action cannot be undone. It is categorised as a Destructive tool in the Directus MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on delete_dashboard? +

Register the Directus MCP Server MCP server in PolicyLayer and add a rule for delete_dashboard: 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 Directus MCP Server. Nothing to install.

What risk level is delete_dashboard? +

delete_dashboard is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_dashboard? +

Yes. Add a rate_limit block to the delete_dashboard 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 delete_dashboard completely? +

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

delete_dashboard is provided by the Directus MCP Server MCP server (skeyelab/directus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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