generate_image

Generate or edit images using Google's Gemini image generation models.

Server Media lukaskellerstein/media-mcp
Category Execute
Risk class High
Parameters 00 required

What generate_image does on Media

AI agents invoke generate_image to trigger actions in Media. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

Why generate_image needs a policy

This tool executes an external API call to Google Gemini to generate or edit images. It is not a simple read operation, nor does it delete data. It creates new artifacts by invoking an external compute/AI service, placing it in the Execute category.

From the tool's definition "Generate or edit images using Google's Gemini image generation models" — triggers an external AI model operation (Google Gemini API call) to create or modify image content.

Questions about generate_image

What does the generate_image tool do? +

Generate or edit images using Google's Gemini image generation models. It is categorised as a Execute tool in the Media MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on generate_image? +

Register the Media 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 Media. Nothing to install.

What risk level is generate_image? +

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

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 Media MCP server (lukaskellerstein/media-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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