Delete a notebook or directory with parameters: path, recursive (optional)
AI agents call delete_workspace_object to permanently remove resources in Databricks MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool irreversibly removes notebooks or directories from the Databricks workspace. Even though the recursive parameter is optional, the core function is destructive in nature—deleted notebooks cannot be recovered without backup restoration. The presence of a recursive flag amplifies risk by enabling bulk deletion.
From the tool's definition Tool name 'delete_workspace_object' combined with description stating it deletes 'a notebook or directory' with a 'recursive' option. The word 'delete' directly indicates irreversible removal of data.
Attacks that exploit this kind of access
Delete a notebook or directory with parameters: path, recursive (optional). It is categorised as a Destructive tool in the Databricks MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for delete_workspace_object: 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 Databricks MCP Server. Nothing to install.
delete_workspace_object is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_workspace_object 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 delete_workspace_object. 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.
delete_workspace_object is provided by the Databricks MCP Server MCP server (robkisk/databricks-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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