Iterate on existing wireframes based on user feedback. Loads the current design spec and regenerates wireframes for specified screens (or all screens) applying the feedback. Maintains design system consistency. Requires ux_design to have been run first.
AI agents use design_iterate to create or update resources in RC Engine — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your RC Engine environment.
This tool modifies existing design artifacts (wireframes) by regenerating them based on feedback. It overwrites previous wireframe content, but this is a reversible creative/document modification rather than destructive deletion — prior specs could be reloaded or re-run. It creates/updates design specs, placing it firmly in Write.
From the tool's definition Iterate on existing wireframes based on user feedback... regenerates wireframes for specified screens (or all screens) applying the feedback
Attacks that exploit this kind of access
Iterate on existing wireframes based on user feedback. Loads the current design spec and regenerates wireframes for specified screens (or all screens) applying the feedback. Maintains design system consistency. Requires ux_design to have been run first. It is categorised as a Write tool in the RC Engine MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the RC Engine MCP server in PolicyLayer and add a rule for design_iterate: 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 RC Engine. Nothing to install.
design_iterate 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 design_iterate 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 design_iterate. 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.
design_iterate is provided by the RC Engine MCP server (originalrashmi/rc-engine-product-framework). 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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