rhino_annotation_revision_cloud

Draw a revision cloud (bumpy polyline) around a region of interest with a revision label.

SERVERRhino SOURCEeasehee/rhino-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/easehee-rhino-mcp/rhino-annotation-revision-cloud.md

WHAT IT DOES

What rhino_annotation_revision_cloud does on Rhino

AI agents use rhino_annotation_revision_cloud 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.

RISK

Why rhino_annotation_revision_cloud is rated Medium

This tool creates new annotation objects (revision clouds and labels) in the Rhino model, which is a reversible modification of the document. It does not execute arbitrary code, delete data, or move money. While it modifies the design, the changes can be undone in Rhino's standard workflow, making it a Write operation.

From the tool's definition Tool description states it will 'Draw a revision cloud...with a revision label,' which creates new geometry in Rhino. The verbs 'draw' and the action of adding annotations are creation operations that modify the Rhino document state.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs rhino_annotation_revision_cloud 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_annotation_revision_cloud, this is the rule to start with:

rhino_annotation_revision_cloud Rate-limited

rhino_annotation_revision_cloud 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "rhino_annotation_revision_cloud": {
      "limits": [
        {
          "counter": "rhino_annotation_revision_cloud_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Rhino, apply this rule, and every rhino_annotation_revision_cloud call is checked against it from then on.

FAQ

Questions about rhino_annotation_revision_cloud

What does the rhino_annotation_revision_cloud tool do? +

Draw a revision cloud (bumpy polyline) around a region of interest with a revision label. 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.

How do I enforce a policy on rhino_annotation_revision_cloud? +

Register the Rhino MCP server in PolicyLayer and add a rule for rhino_annotation_revision_cloud: 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.

What risk level is rhino_annotation_revision_cloud? +

rhino_annotation_revision_cloud is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit rhino_annotation_revision_cloud? +

Yes. Add a rate_limit block to the rhino_annotation_revision_cloud 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.

How do I block rhino_annotation_revision_cloud completely? +

Set action: deny in the PolicyLayer policy for rhino_annotation_revision_cloud. 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.

What MCP server provides rhino_annotation_revision_cloud? +

rhino_annotation_revision_cloud 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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