Move an STL model along specific axes
AI agents use translate_stl to create or update resources in MCP 3D Printer Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP 3D Printer Server environment.
This tool modifies the position/geometry of an STL file by translating it along axes. This is a reversible modification (the file can be moved back), so it falls under Write rather than Destructive. Misuse could corrupt or unintentionally alter 3D model files, hence medium severity.
From the tool's definition Move an STL model along specific axes
Attacks that exploit this kind of access
Move an STL model along specific axes. It is categorised as a Write tool in the MCP 3D Printer Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the MCP 3D Printer Server MCP server in PolicyLayer and add a rule for translate_stl: 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 MCP 3D Printer Server. Nothing to install.
translate_stl 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 translate_stl 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 translate_stl. 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.
translate_stl is provided by the MCP 3D Printer Server MCP server (mcpflow/dmontgomery40_mcp-3d-printer-server). 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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