delete_mask

Delete a mask from a layer by name or index.

SERVERAe SOURCE@synthetic-ai/ae-mcp

Critical RISK CLASS

Category Destructive

Parameters 72 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/synthetic-ai-ae-mcp/delete-mask.md

WHAT IT DOES

What delete_mask does on Ae

AI agents call delete_mask to permanently remove resources in Ae, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Parameter	Type	Required	Description
`save`	boolean	—
`compName`	string	Yes
`maskName`	string	—
`layerName`	string	Yes
`maskIndex`	number	—	1-based mask index.
`timeoutMs`	number	—
`projectPath`	string	—

Parameters from the server's own tool schema.

RISK

Why delete_mask is rated Critical

An AI agent that decides to call delete_mask doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Ae is gone. There is no undo for destructive operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

delete_mask Hidden

delete_mask is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "delete_mask"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about delete_mask

What does the delete_mask tool do? +

Delete a mask from a layer by name or index. It is categorised as a Destructive tool in the Ae MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

What parameters does delete_mask accept? +

delete_mask accepts 7 parameters: save, compName, maskName, layerName, maskIndex, timeoutMs, projectPath. Required: compName, layerName. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on delete_mask? +

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

delete_mask is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_mask? +

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

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

delete_mask 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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