This record as markdown: /tools/kiln/iterate-design.md
What iterate_design does on Kiln
AI agents invoke iterate_design to trigger actions in Kiln. 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 iterate_design is rated High
Based on the server context (AI agent control of 3D printers, sibling tools include analyze_design_requirements and analyze_generation_feedback), 'iterate_design' likely executes a design iteration workflow, potentially modifying 3D models or triggering print jobs.
From the tool's definition Tool name 'iterate_design' on a 3D printer control server with 273 tools including design analysis and generation tools. Description is empty.
Attacks that exploit this kind of access
The rule that runs iterate_design safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Kiln, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For iterate_design, this is the rule to start with:
iterate_design stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Kiln, apply this rule, and every iterate_design call is checked against it from then on.
Questions about iterate_design
iterate_design is a execute tool on the Kiln MCP server. It is categorised as a Execute tool in the Kiln MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Kiln MCP server in PolicyLayer and add a rule for iterate_design: 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 Kiln. Nothing to install.
iterate_design is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the iterate_design 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 iterate_design. 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.
iterate_design is provided by the Kiln MCP server (codeofaxel/Kiln). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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