AI agents invoke fill_zones to trigger actions in Kicad. 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.
This tool triggers an external operation (zone filling) in KiCad's pcbnew application. It modifies the PCB design by filling copper zones, which is a computational operation that applies changes to the board layout. While it modifies data, it's more of an 'execute' action that runs the zone filler algorithm rather than a simple write/create.
From the tool's definition Fill all copper zones on the board using pcbnew's zone filler
Attacks that exploit this kind of access
Fill all copper zones on the board using pcbnew's zone filler. It is categorised as a Execute tool in the Kicad MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Kicad MCP server in PolicyLayer and add a rule for fill_zones: 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 Kicad. Nothing to install.
fill_zones 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 fill_zones 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 fill_zones. 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.
fill_zones is provided by the Kicad MCP server (productofamerica/mcp-server-kicad). 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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