Group multiple canvas elements together.
AI agents use group_elements to create or update resources in tldraw MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your tldraw MCP Server environment.
Grouping elements creates a new organizational relationship among existing canvas elements. This is a Write operation because it modifies the canvas data structure reversibly, changing how elements are arranged and related, but does not delete data (which would be Destructive) or cause external side effects (which would be Execute).
From the tool's definition Tool name is 'group_elements' and description states it 'Group multiple canvas elements together.' This operation modifies the canvas state by organizing elements into a group, which is reversible (elements can be ungrouped).
Attacks that exploit this kind of access
Group multiple canvas elements together. It is categorised as a Write tool in the tldraw MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the tldraw MCP Server MCP server in PolicyLayer and add a rule for group_elements: 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 tldraw MCP Server. Nothing to install.
group_elements 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 group_elements 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 group_elements. 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.
group_elements is provided by the tldraw MCP Server MCP server (mihai-codes/tldraw-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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