Stress-test design options against 5 lenses: ICP alignment, copy quality, design justification, conversion flow, and accessibility. Call after ux_design generates options. Returns findings by severity with specific fixes. After success: present findings to user, then proceed to design_select or d...
AI agents call design_challenge to retrieve information from RC Engine without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool analyzes and evaluates existing design options, returning findings and recommendations. It does not create, modify, delete, or execute anything — it reads/assesses inputs and produces a structured report. The output is advisory (findings with fixes), not a mutation of any data or system state.
From the tool's definition Stress-test design options against 5 lenses...Returns findings by severity with specific fixes
Attacks that exploit this kind of access
Stress-test design options against 5 lenses: ICP alignment, copy quality, design justification, conversion flow, and accessibility. Call after ux_design generates options. Returns findings by severity with specific fixes. After success: present findings to user, then proceed to design_select or design_iterate. It is categorised as a Read tool in the RC Engine MCP Server, which means it retrieves data without modifying state.
Register the RC Engine MCP server in PolicyLayer and add a rule for design_challenge: 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_challenge is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the design_challenge 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_challenge. 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_challenge 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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