This record as markdown: /tools/frontmcp/remove-workflow.md
What remove_workflow does on Frontmcp
AI agents call remove_workflow to permanently remove resources in Frontmcp, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why remove_workflow is rated Critical
Removing a workflow is an irreversible operation that eliminates a stored workflow configuration. This cannot be trivially undone and would prevent execution of that workflow going forward.
From the tool's definition Tool name contains 'remove' and description states 'Remove a dynamic workflow by name.' The verb 'remove' in the context of workflow management typically indicates deletion or permanent removal of a configuration or process.
Attacks that exploit this kind of access
The rule that runs remove_workflow safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Frontmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For remove_workflow, this is the rule to start with:
remove_workflow is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Frontmcp, apply this rule, and every remove_workflow call is checked against it from then on.
Questions about remove_workflow
Remove a dynamic workflow by name. It is categorised as a Destructive tool in the Frontmcp MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Front MCP server in PolicyLayer and add a rule for remove_workflow: 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 Frontmcp. Nothing to install.
remove_workflow 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_workflow 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_workflow. 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_workflow is provided by the Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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