set_output_module

Configure the output module of a render queue item (format, channels, depth, color).

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 81 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/synthetic-ai-ae-mcp/set-output-module.md

WHAT IT DOES

What set_output_module does on Ae

AI agents use set_output_module to create or update resources in Ae, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ae environment.

Parameter	Type	Required	Description
`depth`	string	—	8 \| 16 \| 32
`omIndex`	number	—	1-based output module index. Defaults to 1.
`rqIndex`	number	Yes	1-based render queue item index.
`channels`	string	—	rgb \| rgba \| alpha
`timeoutMs`	number	—
`projectPath`	string	—
`templateName`	string	—	Apply a named output module template.
`includeSourceXMP`	boolean	—

Parameters from the server's own tool schema.

RISK

Why set_output_module is rated Medium

An AI agent can call set_output_module faster than any human can review: one bad instruction and it creates or modifies resources in Ae by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs set_output_module safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Ae, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For set_output_module, this is the rule to start with:

set_output_module Rate-limited

set_output_module stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "set_output_module": {
      "limits": [
        {
          "counter": "set_output_module_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Ae, apply this rule, and every set_output_module call is checked against it from then on.

FAQ

Questions about set_output_module

What does the set_output_module tool do? +

Configure the output module of a render queue item (format, channels, depth, color). It is categorised as a Write tool in the Ae MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does set_output_module accept? +

set_output_module accepts 8 parameters: depth, omIndex, rqIndex, channels, timeoutMs, projectPath, templateName, includeSourceXMP. Required: rqIndex. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on set_output_module? +

Register the Ae MCP server in PolicyLayer and add a rule for set_output_module: 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 Ae. Nothing to install.

What risk level is set_output_module? +

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

Can I rate-limit set_output_module? +

Yes. Add a rate_limit block to the set_output_module 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_output_module completely? +

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

set_output_module is provided by the Ae MCP server (@synthetic-ai/ae-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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