batch_add_effect

Add the same effect to multiple layers in a single call.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 62 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/batch-add-effect.md

WHAT IT DOES

What batch_add_effect does on Ae

AI agents use batch_add_effect 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
`save`	boolean	—
`compName`	string	Yes
`matchName`	string	Yes	Effect match name, e.g. ADBE Fill.
`timeoutMs`	number	—
`layerNames`	array	—	Layer names. Omit to apply to all layers.
`projectPath`	string	—

Parameters from the server's own tool schema.

RISK

Why batch_add_effect is rated Medium

An AI agent can call batch_add_effect 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 batch_add_effect 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 batch_add_effect, this is the rule to start with:

batch_add_effect Rate-limited

batch_add_effect 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": {
    "batch_add_effect": {
      "limits": [
        {
          "counter": "batch_add_effect_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 batch_add_effect call is checked against it from then on.

FAQ

Questions about batch_add_effect

What does the batch_add_effect tool do? +

Add the same effect to multiple layers in a single call. 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 batch_add_effect accept? +

batch_add_effect accepts 6 parameters: save, compName, matchName, timeoutMs, layerNames, projectPath. Required: compName, matchName. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on batch_add_effect? +

Register the Ae MCP server in PolicyLayer and add a rule for batch_add_effect: 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 batch_add_effect? +

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

Can I rate-limit batch_add_effect? +

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

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

batch_add_effect 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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