set_mask_path

Set the shape vertices of a mask.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Medium RISK CLASS

Category Write

Parameters 104 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-mask-path.md

WHAT IT DOES

What set_mask_path does on Ae

AI agents use set_mask_path 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	—
`closed`	boolean	—	Whether the mask is closed. Defaults to true.
`compName`	string	Yes
`maskName`	string	Yes	Mask name or 1-based index.
`vertices`	array	Yes	Array of [x, y] vertex pairs.
`layerName`	string	Yes
`timeoutMs`	number	—
`inTangents`	array	—	Optional array of [x, y] in-tangents. Defaults to [0,0] per vertex.
`outTangents`	array	—	Optional array of [x, y] out-tangents. Defaults to [0,0] per vertex.
`projectPath`	string	—

Parameters from the server's own tool schema.

RISK

Why set_mask_path is rated Medium

An AI agent can call set_mask_path 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.

Risk signalsHigh parameter count (10 properties)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs set_mask_path 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_mask_path, this is the rule to start with:

set_mask_path Rate-limited

set_mask_path 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_mask_path": {
      "limits": [
        {
          "counter": "set_mask_path_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_mask_path call is checked against it from then on.

FAQ

Questions about set_mask_path

What does the set_mask_path tool do? +

Set the shape vertices of a mask. 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_mask_path accept? +

set_mask_path accepts 10 parameters: save, closed, compName, maskName, vertices, layerName, timeoutMs, inTangents, outTangents, projectPath. Required: compName, maskName, vertices, layerName. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on set_mask_path? +

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

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

Can I rate-limit set_mask_path? +

Yes. Add a rate_limit block to the set_mask_path 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_mask_path completely? +

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

set_mask_path 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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