Medium Risk

updateWhiteboardScene

Edit elements on a whiteboard's canvas WITHOUT dropping the rest of the scene. A board may hold many diagrams/elements, so prefer surgical edits: mode='patch' (DEFAULT) shallow-merges each incoming object into the existing element with the same id (send just {id, backgroundColor:'blue'} to recolo...

Part of the Stable Baseline server.

updateWhiteboardScene can modify Stable Baseline data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use updateWhiteboardScene to create or modify resources in Stable Baseline. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call updateWhiteboardScene repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Stable Baseline.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "updateWhiteboardScene": {
      "limits": [
        {
          "counter": "updatewhiteboardscene_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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These attack patterns abuse exactly the kind of access updateWhiteboardScene gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so updateWhiteboardScene only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the updateWhiteboardScene tool do? +

Edit elements on a whiteboard's canvas WITHOUT dropping the rest of the scene. A board may hold many diagrams/elements, so prefer surgical edits: mode='patch' (DEFAULT) shallow-merges each incoming object into the existing element with the same id (send just {id, backgroundColor:'blue'} to recolour one box, or {id, x, y} to move one) and appends any elements whose id is new/absent — everything else is left untouched. deleteIds removes specific elements by id. mode='append' only adds. mode='replace' overwrites the ENTIRE scene — to rebuild or edit only PART of a board, still use 'patch', because replace DELETES every element you don't resend (of ANY type). As a safeguard, a replace that would drop ANY existing element not in your payload is REJECTED unless you pass confirmReplace:true (or include those ids); diagrams/images/frames are flagged specially since they're inserted separately and costliest to lose. To author NEW shapes/connectors from a high-level spec, prefer addWhiteboardElements — and prefer library stencils / sticky notes / architecture icons over plain rectangles wherever a standard form fits (sticky notes, kanban/scrum, flowcharts, UML/ER, BPMN, org charts, wireframes). Optional appState/files are merged in. PROCESS: for a non-trivial edit call getWhiteboardGuide FIRST; after editing, ALWAYS call getWhiteboardImage to confirm the board still looks right (layout, labels, overlaps), and patch again if it doesn't.. It is categorised as a Write tool in the Stable Baseline MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on updateWhiteboardScene? +

Register the Stable Baseline MCP server in PolicyLayer and add a rule for updateWhiteboardScene: 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 Stable Baseline. Nothing to install.

What risk level is updateWhiteboardScene? +

updateWhiteboardScene is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit updateWhiteboardScene? +

Yes. Add a rate_limit block to the updateWhiteboardScene 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 updateWhiteboardScene completely? +

Set action: deny in the PolicyLayer policy for updateWhiteboardScene. 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 updateWhiteboardScene? +

updateWhiteboardScene is provided by the Stable Baseline MCP server (https://api.stablebaseline.io/functions/v1/cloud-serve/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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