This record as markdown: /tools/hybridlabor-api-aos/sweep-1-rail.md
What sweep_1_rail does on Aos
AI agents invoke sweep_1_rail to trigger actions in Aos. 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 sweep_1_rail is rated High
Based on the server context (Rhino 3D modeling), 'sweep_1_rail' almost certainly performs a 1-rail sweep operation, which creates geometry by sweeping a profile curve along a rail curve. This is a geometry creation/write operation in Rhino. Since the description is empty, confidence is lowered.
From the tool's definition Tool name 'sweep_1_rail' on a server that provides 'direct, programmatic control of Rhino 8 — create geometry, run booleans, drive Grasshopper, capture viewports, and execute arbitrary Python scripts'. The tool description is empty and uninformative.
Attacks that exploit this kind of access
The rule that runs sweep_1_rail safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For sweep_1_rail, this is the rule to start with:
sweep_1_rail 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 Aos, apply this rule, and every sweep_1_rail call is checked against it from then on.
Questions about sweep_1_rail
sweep_1_rail is a execute tool on the Aos MCP server. It is categorised as a Execute tool in the Aos MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Aos MCP server in PolicyLayer and add a rule for sweep_1_rail: 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 Aos. Nothing to install.
sweep_1_rail 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 sweep_1_rail 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 sweep_1_rail. 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.
sweep_1_rail is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Aos, and thousands of servers like it.
This server
Across the catalogue