Discover 3D printers on the network.
AI agents call discover_printers to retrieve information from OpenSCAD MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool scans the network to find available 3D printers. It only reads/queries network resources and returns a list of discovered devices. No data is modified, deleted, or created. Misuse potential is low as it only reveals network topology.
From the tool's definition 'Discover 3D printers on the network' — purely a network discovery/enumeration operation with no side effects
Attacks that exploit this kind of access
Discover 3D printers on the network. It is categorised as a Read tool in the OpenSCAD MCP Server MCP Server, which means it retrieves data without modifying state.
Register the OpenSCAD MCP Server MCP server in PolicyLayer and add a rule for discover_printers: 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 OpenSCAD MCP Server. Nothing to install.
discover_printers 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 discover_printers 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 discover_printers. 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.
discover_printers is provided by the OpenSCAD MCP Server MCP server (jhacksman/openscad-mcp-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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