Low Risk

describe_scene

Get an AI-readable description of the current canvas: element types, positions, connections, labels, spatial layout, and bounding box. Use this to understand what is on the canvas before making changes.

How to control describe_scene ↓

AI agents call describe_scene to retrieve information from Excalidraw MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

The describe_scene tool only retrieves and queries the current state of a diagram canvas. It performs no modifications, deletions, or external operations. It is a read-only operation that provides context for understanding diagram contents, making it a Read category tool with low severity since misuse would only result in retrieving diagram metadata without causing harm.

From the tool's definition Tool description explicitly states it 'Get[s] an AI-readable description' of the canvas, providing element types, positions, connections, labels, and spatial layout.

Documented attack patterns abuse exactly the kind of access describe_scene gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Excalidraw MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for describe_scene:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "describe_scene": {}
  }
}

describe_scene is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Excalidraw MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Free to start. No card required.

Go deeper

What does the describe_scene tool do? +

Get an AI-readable description of the current canvas: element types, positions, connections, labels, spatial layout, and bounding box. Use this to understand what is on the canvas before making changes. It is categorised as a Read tool in the Excalidraw MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on describe_scene? +

Register the Excalidraw MCP Server MCP server in PolicyLayer and add a rule for describe_scene: 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 Excalidraw MCP Server. Nothing to install.

What risk level is describe_scene? +

describe_scene is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit describe_scene? +

Yes. Add a rate_limit block to the describe_scene 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.

How do I block describe_scene completely? +

Set action: deny in the PolicyLayer policy for describe_scene. 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.

What MCP server provides describe_scene? +

describe_scene is provided by the Excalidraw MCP Server MCP server (yctimlin/mcp_excalidraw). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Excalidraw MCP Server tool call.

Deterministic rules across all 26 Excalidraw MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

26 Excalidraw MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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