Edit an image using a reference image and prompt.
AI agents use edit_image to create or update resources in Jgkme/kilo Image Gen — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Jgkme/kilo Image Gen environment.
The tool modifies an existing image based on a reference and a prompt. This is a reversible write operation — the original image is not necessarily deleted, and the result is a new or modified image. No code execution, deletion, or financial transaction is involved.
From the tool's definition Edit an image using a reference image and prompt
Attacks that exploit this kind of access
Edit an image using a reference image and prompt. It is categorised as a Write tool in the Jgkme/kilo Image Gen MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Jgkme/kilo Image Gen MCP server in PolicyLayer and add a rule for edit_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 Jgkme/kilo Image Gen. Nothing to install.
edit_image is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the edit_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.
Set action: deny in the PolicyLayer policy for edit_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.
edit_image is provided by the Jgkme/kilo Image Gen MCP server (jgkme/img-gen-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the 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.
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