Medium Risk

generate_image

Generate an image using Google Gemini. Optionally provide reference images to guide the generation style or content. Returns a base64-encoded image.

How to control generate_image ↓

What generate_image does on Nano Banana Pro MCP

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

Medium Risk

Why generate_image needs a policy

This tool creates new content (images) using an AI model. It is a Write operation because it generates and returns new data. It does not delete anything, execute arbitrary code, or involve financial transactions. Misuse could involve generating inappropriate imagery, hence medium severity.

From the tool's definition Generate an image using Google Gemini... Returns a base64-encoded image.

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

How to control generate_image

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

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

generate_image 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 Nano Banana Pro MCP — 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.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about generate_image

What does the generate_image tool do? +

Generate an image using Google Gemini. Optionally provide reference images to guide the generation style or content. Returns a base64-encoded image. It is categorised as a Write tool in the Nano Banana Pro 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 generate_image? +

Register the Nano Banana Pro MCP server in PolicyLayer and add a rule for generate_image: 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 Nano Banana Pro MCP. Nothing to install.

What risk level is generate_image? +

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

Can I rate-limit generate_image? +

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

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

generate_image is provided by the Nano Banana Pro MCP server (mrafaeldie12/nano-banana-pro-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nano Banana Pro MCP tool call.

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

Free to start. No card required.

3 Nano Banana Pro MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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