create_mockup · AI-Canvas MCP Server MCP: Risk & Policy

WHAT IT DOES

What create_mockup does on AI-Canvas MCP Server

AI agents use create_mockup to create or update resources in AI-Canvas MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AI-Canvas MCP Server environment.

WHY IT NEEDS A POLICY

Why create_mockup needs a policy

Creating a mockup is a non-destructive write operation that generates new design output by composing existing elements. While it modifies the design canvas state and produces new artifacts, it does not delete, overwrite irreversibly, execute arbitrary code, move funds, or query data alone. It falls squarely in the Write category.

From the tool's definition Tool name 'create_mockup' and description 'Place design into a mockup frame' indicates creation of a new mockup artifact that combines an existing design with a frame template.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_mockup Rate-limited

create_mockup 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": {
    "create_mockup": {
      "limits": [
        {
          "counter": "create_mockup_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches AI-Canvas MCP Server, so you can run agents against it safely.

FAQ

Questions about create_mockup

What does the create_mockup tool do? +

Place design into a mockup frame. It is categorised as a Write tool in the AI-Canvas MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_mockup? +

Register the AI-Canvas MCP Server MCP server in PolicyLayer and add a rule for create_mockup: 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 AI-Canvas MCP Server. Nothing to install.

What risk level is create_mockup? +

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

Can I rate-limit create_mockup? +

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

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

create_mockup is provided by the AI-Canvas MCP Server MCP server (laoluojuhai/ai-canvas). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.