Dissolve a group, releasing all child elements back to the canvas as independent shapes.
AI agents use ungroup_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.
This tool modifies the state of the canvas by restructuring grouped elements into independent shapes. It is categorized as Write rather than Destructive because the action is reversible (elements are not deleted, only ungrouped) and does not irreversibly erase data.
From the tool's definition Tool description states it dissolves a group and releases child elements, which modifies the structure and organization of existing diagram elements on the canvas. The action is reversible through re-grouping.
Attacks that exploit this kind of access
Dissolve a group, releasing all child elements back to the canvas as independent shapes. 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 ungroup_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.
ungroup_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 ungroup_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 ungroup_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.
ungroup_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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