ai_suggest_layout · SVG Canvas MCP: Risk & Policy

WHAT IT DOES

What ai_suggest_layout does on SVG Canvas MCP

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

WHY IT NEEDS A POLICY

Why ai_suggest_layout needs a policy

The tool creates or modifies the layout arrangement of elements on an SVG canvas. While it does not delete data or execute arbitrary code, it does change the state of the canvas through layout suggestions. This constitutes a Write operation—reversible data modification. Severity is low because layout adjustments are easily undone and have no external side effects, data loss, or financial impact.

From the tool's definition Tool suggests layout adjustments for canvas size (레이아웃을 제안합니다= 'suggests layout'), which modifies the organization and positioning of SVG elements on the canvas.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ai_suggest_layout Rate-limited

ai_suggest_layout 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": {
    "ai_suggest_layout": {
      "limits": [
        {
          "counter": "ai_suggest_layout_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 SVG Canvas MCP, so you can run agents against it safely.

FAQ

Questions about ai_suggest_layout

What does the ai_suggest_layout tool do? +

캔버스 크기에 맞는 레이아웃을 제안합니다. It is categorised as a Write tool in the SVG Canvas MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ai_suggest_layout? +

Register the SVG Canvas MCP server in PolicyLayer and add a rule for ai_suggest_layout: 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 SVG Canvas MCP. Nothing to install.

What risk level is ai_suggest_layout? +

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

Can I rate-limit ai_suggest_layout? +

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

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

ai_suggest_layout is provided by the SVG Canvas MCP server (kim62210/svg-canvas-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.