Medium Risk

auto_route_next_step

Advance to the next workflow step, evaluating conditional branches. Returns next_agent and updated workflow_token.

Part of the Agent Workflow Engine server.

auto_route_next_step 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 auto_route_next_step 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 auto_route_next_step 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": {
    "auto_route_next_step": {
      "limits": [
        {
          "counter": "auto_route_next_step_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 auto_route_next_step 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 auto_route_next_step only ever does what you allow.

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

What does the auto_route_next_step tool do? +

Advance to the next workflow step, evaluating conditional branches. Returns next_agent and updated workflow_token.. 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 auto_route_next_step? +

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

What risk level is auto_route_next_step? +

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

Can I rate-limit auto_route_next_step? +

Yes. Add a rate_limit block to the auto_route_next_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.

How do I block auto_route_next_step completely? +

Set action: deny in the PolicyLayer policy for auto_route_next_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.

What MCP server provides auto_route_next_step? +

auto_route_next_step 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.

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