generate_image

generate_image

Server Openai robotlearning123/gpt2agent
Category Execute
Risk class High
Parameters 00 required

What generate_image does on Openai

AI agents invoke generate_image to trigger actions in Openai. 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

The tool name implies triggering an external image generation operation via the user's ChatGPT account. This constitutes executing an external operation. The description is empty, lowering confidence. Severity is high because it uses the user's account/quota and could generate harmful content or incur usage costs, though it stops short of direct financial transactions.

From the tool's definition Tool name 'generate_image' on a server described as enabling 'image generation via your own account' (ChatGPT Plus/Pro).

Questions about generate_image

What does the generate_image tool do? +

generate_image. It is categorised as a Execute tool in the Openai 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 Openai 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 Openai. 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 Openai MCP server (robotlearning123/gpt2agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.