This record as markdown: /tools/holdmybeer-gg-blend-ai/create-object.md
What create_object does on Blend Ai
AI agents use create_object to create or update resources in Blend Ai, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Blend Ai environment.
Why create_object is rated Medium
Creating objects in Blender is a reversible write operation that modifies the scene state. While not destructive, it alters the project by adding new entities. The severity is high because an AI agent misusing this in production workflows could create unwanted geometry, cluttering or corrupting 3D scenes.
From the tool's definition Tool name is 'create_object' and the server description indicates it provides tools for '3D modeling, animation, and rendering' with the capability to 'control Blender through...
Attacks that exploit this kind of access
The rule that runs create_object safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Blend Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For create_object, this is the rule to start with:
create_object 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 Blend Ai, apply this rule, and every create_object call is checked against it from then on.
Questions about create_object
create_object is a write tool on the Blend Ai MCP server. It is categorised as a Write tool in the Blend Ai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Blend Ai MCP server in PolicyLayer and add a rule for create_object: 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 Blend Ai. Nothing to install.
create_object 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_object 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_object. 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_object is provided by the Blend Ai MCP server (holdmybeer-gg/blend-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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