This record as markdown: /tools/easehee-rhino-mcp/rhino-leader.md
What rhino_leader does on Rhino
AI agents use rhino_leader to create or update resources in Rhino, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Rhino environment.
Why rhino_leader is rated Medium
This tool creates new geometric elements (leaders with text) in Rhino, modifying the design state reversibly. While it doesn't execute arbitrary code or delete data, it does persistently alter the model. This is a Write operation rather than Execute because it performs a specific, bounded geometric creation rather than running arbitrary commands.
From the tool's definition Tool description states 'Add a multi-point leader (with optional text)', which creates new geometry objects in Rhino. The verb 'Add' indicates creation of data/objects within the 3D modeling environment.
Attacks that exploit this kind of access
The rule that runs rhino_leader safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Rhino, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For rhino_leader, this is the rule to start with:
rhino_leader stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Rhino, apply this rule, and every rhino_leader call is checked against it from then on.
Questions about rhino_leader
Add a multi-point leader (with optional text). It is categorised as a Write tool in the Rhino MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Rhino MCP server in PolicyLayer and add a rule for rhino_leader: 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 Rhino. Nothing to install.
rhino_leader 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 rhino_leader 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 rhino_leader. 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.
rhino_leader is provided by the Rhino MCP server (easehee/rhino-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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