Remove a step from a workflow with optional next-pointer rewiring. When rewireNext is true (default): steps that pointed to the removed step are rewired to the removed step's next target. Entry condition criteria referencing the removed step are also cleaned up. Respects draft snapshot routing fo...
Part of the Agentled server.
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AI agents may call remove_step to permanently remove or destroy resources in Agentled. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call remove_step in a loop, permanently destroying resources in Agentled. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"remove_step"
]
}See the full Agentled policy for all 119 tools.
These attack patterns abuse exactly the kind of access remove_step gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Remove a step from a workflow with optional next-pointer rewiring. When rewireNext is true (default): steps that pointed to the removed step are rewired to the removed step's next target. Entry condition criteria referencing the removed step are also cleaned up. Respects draft snapshot routing for live workflows.. It is categorised as a Destructive tool in the Agentled MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Agentled MCP server in PolicyLayer and add a rule for remove_step: 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 Agentled. Nothing to install.
remove_step 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 remove_step 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 remove_step. 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.
remove_step is provided by the Agentled MCP server (@agentled/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 119 Agentled tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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