remove_node

remove_node

Server Dify MCP taiki-kuraishi/dify-mcp
Category Destructive
Risk class Critical
Parameters 00 required

What remove_node does on Dify MCP

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

Why remove_node needs a policy

A 'remove_node' operation in a workflow graph context would delete a node and potentially its associated edges, which is an irreversible destructive action. The description is empty, lowering confidence slightly, but the naming convention in context of sibling tools (all dealing with workflow node/edge creation) strongly suggests destructive deletion behavior.

From the tool's definition Tool name 'remove_node' strongly implies irreversible deletion of a node from a workflow. Context of sibling tools (add_answer_node, add_edge, add_end_node, etc.) confirms this operates on workflow graph elements.

Questions about remove_node

What does the remove_node tool do? +

remove_node. It is categorised as a Destructive tool in the Dify MCP 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 remove_node? +

Register the Dify MCP server in PolicyLayer and add a rule for remove_node: 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 Dify MCP. Nothing to install.

What risk level is remove_node? +

remove_node 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 remove_node? +

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

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

remove_node is provided by the Dify MCP server (taiki-kuraishi/dify-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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