AI agents use create_point to create or update resources in GOLEM-3DMCP-Rhino- — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GOLEM-3DMCP-Rhino- environment.
Creating a point is a reversible modification to the Rhino document. It does not execute code, delete data, move money, or cause irreversible harm. The impact is limited to a single simple geometric primitive that can be easily undone or deleted, making this a straightforward Write categorization with low severity.
From the tool's definition Tool name 'create_point' and description 'Create a point object in the Rhino document' explicitly indicate object creation, which is a write operation that adds geometry to the document.
Documented attack patterns abuse exactly the kind of access create_point gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GOLEM-3DMCP-Rhino-, and nothing reaches the server without passing your rules. This is the rule we recommend for create_point:
{
"version": "1",
"default": "deny",
"tools": {
"create_point": {
"limits": [
{
"counter": "create_point_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_point 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.
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Create a point object in the Rhino document. It is categorised as a Write tool in the GOLEM-3DMCP-Rhino- MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GOLEM-3DMCP-Rhino- MCP server in PolicyLayer and add a rule for create_point: 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 GOLEM-3DMCP-Rhino-. Nothing to install.
create_point 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 create_point 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 create_point. 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.
create_point is provided by the GOLEM-3DMCP-Rhino- MCP server (thekinghippopotamus/golem-3dmcp-rhino-). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from GOLEM-3DMCP-Rhino-, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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89 GOLEM-3DMCP-Rhino- tools catalogued and risk-classified — across an index of 43,000+ MCP servers.