Medium Risk

set_conditional_branch

Attach a conditional branch to a step. Operator is evaluated against agent output when routing. Returns updated workflow_token.

Part of the Agent Workflow Engine server.

set_conditional_branch 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 set_conditional_branch 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 set_conditional_branch 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": {
    "set_conditional_branch": {
      "limits": [
        {
          "counter": "set_conditional_branch_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 set_conditional_branch 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 set_conditional_branch 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 set_conditional_branch tool do? +

Attach a conditional branch to a step. Operator is evaluated against agent output when routing. Returns 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 set_conditional_branch? +

Register the Agent Workflow Engine MCP server in PolicyLayer and add a rule for set_conditional_branch: 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 set_conditional_branch? +

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

Can I rate-limit set_conditional_branch? +

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

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

set_conditional_branch 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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