Medium Risk

create_workflow

Create a new multi-agent workflow. Returns a workflow_token encoding the full state — pass it to all subsequent calls.

Part of the Agent Workflow Engine server.

create_workflow can modify Agent Workflow Engine data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use create_workflow to create or modify resources in Agent Workflow Engine. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call create_workflow repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Agent Workflow Engine.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_workflow": {
      "limits": [
        {
          "counter": "create_workflow_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Agent Workflow Engine policy for all 5 tools.

Get this rule live on your own Agent Workflow Engine server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access create_workflow gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so create_workflow only ever does what you allow.

SECURE AGENT WORKFLOW ENGINE →

Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the create_workflow tool do? +

Create a new multi-agent workflow. Returns a workflow_token encoding the full state — pass it to all subsequent calls.. It is categorised as a Write tool in the Agent Workflow Engine MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_workflow? +

Register the Agent Workflow Engine MCP server in PolicyLayer and add a rule for create_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 Agent Workflow Engine. Nothing to install.

What risk level is create_workflow? +

create_workflow is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_workflow? +

Yes. Add a rate_limit block to the create_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.

How do I block create_workflow completely? +

Set action: deny in the PolicyLayer policy for create_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.

What MCP server provides create_workflow? +

create_workflow is provided by the Agent Workflow Engine MCP server (https://api.lazy-mac.com/agent-workflow-engine/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agent Workflow Engine tool call.

Deterministic rules across all 5 Agent Workflow Engine tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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