Embed a web page or media URL into the canvas as an Excalidraw embeddable element. Use for annotating live websites with arrows/text for design feedback, or referencing external resources. URL must be http(s). Size defaults to 640x400 (16:10).
AI agents use create_embed to create or update resources in Whiteboard — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Whiteboard environment.
The tool creates new embeddable elements on the canvas, modifying the diagram state reversibly. While it references external URLs (which could theoretically be malicious), the operation itself is Write-category: it adds structured data to the canvas.
From the tool's definition Tool creates and embeds external web content into Excalidraw canvas; description states 'Embed a web page or media URL into the canvas as an Excalidraw embeddable element', which involves adding new elements to the canvas state.
Attacks that exploit this kind of access
Embed a web page or media URL into the canvas as an Excalidraw embeddable element. Use for annotating live websites with arrows/text for design feedback, or referencing external resources. URL must be http(s). Size defaults to 640x400 (16:10). It is categorised as a Write tool in the Whiteboard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Whiteboard MCP server in PolicyLayer and add a rule for create_embed: 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 Whiteboard. Nothing to install.
create_embed 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_embed 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_embed. 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_embed is provided by the Whiteboard MCP server (kamiazya/whiteboard). 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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