databricks_dbfs_delete

A destructive tool on the Databricks MCP server.

SERVERDatabricks MCP Server SOURCEpypi:databricks-sdk-mcp

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-pramodbhatofficial-databricks-sdk-mcp/databricks-dbfs-delete.md

WHAT IT DOES

What databricks_dbfs_delete does on Databricks MCP Server

AI agents call databricks_dbfs_delete 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.

RISK

Why databricks_dbfs_delete is rated Critical

DBFS delete operations permanently remove data from distributed storage without possibility of reversal. This is a destructive action with significant blast radius if executed against wrong paths or by a misguided agent. Severity is high rather than critical because the scope is typically limited to files rather than entire systems, but confidence remains very high due to explicit 'delete' semantics.

From the tool's definition Tool name is 'databricks_dbfs_delete' — the 'delete' verb combined with DBFS (Databricks File System) indicates irreversible deletion of files or data. No description provided, but the naming convention is unambiguous.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs databricks_dbfs_delete safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Databricks MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For databricks_dbfs_delete, this is the rule to start with:

databricks_dbfs_delete Hidden

databricks_dbfs_delete is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "databricks_dbfs_delete"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Databricks MCP Server, apply this rule, and every databricks_dbfs_delete call is checked against it from then on.

FAQ

Questions about databricks_dbfs_delete

What does the databricks_dbfs_delete tool do? +

databricks_dbfs_delete is a destructive tool on the Databricks MCP Server MCP server. 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.

How do I enforce a policy on databricks_dbfs_delete? +

Register the Databricks MCP Server MCP server in PolicyLayer and add a rule for databricks_dbfs_delete: 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.

What risk level is databricks_dbfs_delete? +

databricks_dbfs_delete 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 databricks_dbfs_delete? +

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

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

databricks_dbfs_delete is provided by the Databricks MCP Server MCP server (pypi:databricks-sdk-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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Guides

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