Medium Risk

batch_resize

Resize all open images to a common target size. Parameters: - width / height: Target dimensions in pixels (provide one or both) - scale_factor: Proportional scale (e.g. 0.5 = 50%); overrides width/height if set - maintain_aspect: Preserve aspect ratio when only one dimension is given (default Tru...

How to control batch_resize ↓

What batch_resize does on Gimp

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

Medium Risk

Why batch_resize needs a policy

batch_resize modifies image properties (width and height) across multiple open images. This falls squarely into Write: it creates or modifies data reversibly. While it alters images, it does not delete them (Destructive), execute arbitrary code (Execute), or move money (Financial).

From the tool's definition Tool description states it resizes images: "Resize all open images to a common target size." This modifies image dimensions but does not delete or irreversibly destroy data. The operation is reversible via undo or re-editing.

Risk signalsBulk/mass operation — affects multiple targets

Documented attack patterns abuse exactly the kind of access batch_resize gives an agent:

How to control batch_resize

PolicyLayer is an MCP gateway — it sits between your AI agents and Gimp, and nothing reaches the server without passing your rules. This is the rule we recommend for batch_resize:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "batch_resize": {
      "limits": [
        {
          "counter": "batch_resize_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

batch_resize 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.

  1. Create a free account and register Gimp — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

Go deeper

Questions about batch_resize

What does the batch_resize tool do? +

Resize all open images to a common target size. Parameters: - width / height: Target dimensions in pixels (provide one or both) - scale_factor: Proportional scale (e.g. 0.5 = 50%); overrides width/height if set - maintain_aspect: Preserve aspect ratio when only one dimension is given (default True) Returns: {results: [{image_id, old_width, old_height, new_width, new_height}], count}. It is categorised as a Write tool in the Gimp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on batch_resize? +

Register the Gimp MCP server in PolicyLayer and add a rule for batch_resize: 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 Gimp. Nothing to install.

What risk level is batch_resize? +

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

Can I rate-limit batch_resize? +

Yes. Add a rate_limit block to the batch_resize 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_resize completely? +

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

batch_resize is provided by the Gimp MCP server (maorcc/gimp-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gimp tool call.

Start from Gimp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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