rhino_shadow_project
Project objects' bounding-box corners along sun_vector to the ground plane.
This record as markdown: /tools/easehee-rhino-mcp/rhino-shadow-project.md
What rhino_shadow_project does on Rhino
AI agents use rhino_shadow_project 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_shadow_project is rated Medium
An AI agent can call rhino_shadow_project faster than any human can review: one bad instruction and it creates or modifies resources in Rhino by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs rhino_shadow_project 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_shadow_project, this is the rule to start with:
rhino_shadow_project 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_shadow_project call is checked against it from then on.
Questions about rhino_shadow_project
Project objects' bounding-box corners along sun_vector to the ground plane. 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_shadow_project: 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_shadow_project 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_shadow_project 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_shadow_project. 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_shadow_project 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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