nano_banana_generate

THE RISK

High Risk

Why nano_banana_generate needs a policy

This tool triggers an external AI service (Google Gemini) to generate images, which constitutes executing an external operation with side effects (API calls, potential costs, content generation). It does not merely read existing data but actively invokes a generative AI model. Severity is high because misuse could generate harmful/inappropriate content or incur significant API costs.

From the tool's definition Generate images from text descriptions using Google Gemini

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

POLICY

How to control nano_banana_generate

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "nano_banana_generate": {
      "limits": [
        {
          "counter": "nano_banana_generate_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

nano_banana_generate stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register Apple Shortcuts — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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Go deeper

High-risk tools in Apple Shortcuts → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about nano_banana_generate

What does the nano_banana_generate tool do? +

Generate images from text descriptions using Google Gemini. It is categorised as a Execute tool in the Apple Shortcuts MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on nano_banana_generate? +

Register the Apple Shortcuts MCP server in PolicyLayer and add a rule for nano_banana_generate: 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 Apple Shortcuts. Nothing to install.

What risk level is nano_banana_generate? +

nano_banana_generate is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit nano_banana_generate? +

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

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

nano_banana_generate is provided by the Apple Shortcuts MCP server (@mindstone/mcp-server-apple-shortcuts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Apple Shortcuts tool call.

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

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