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getWhiteboard

Read a whiteboard: its metadata plus a summary of the canvas (element count, element types, and text labels on the board). Pass includeElements=true to also return the full Excalidraw scene ({elements, appState, files}) — needed if you intend to modify it and send it back via updateWhiteboardScen...

SERVERStable Baseline SOURCEhttps://api.stablebaseline.io/functions/v1/cloud-serve/mcp
Low RISK CLASS
Category Read
Parameters 31 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-stablebaseline-sb/getwhiteboard.md

What getWhiteboard does on Stable Baseline

AI agents call getWhiteboard to retrieve information from Stable Baseline without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
projectId string — Optional. Narrows a friendly-id lookup to one project. Only needed when a friendly id is ambiguous — TAS-/IMP-/PLN- ids are numbered per PROJECT, so the same id
documentId string Yes Accepts either the UUID or the friendly id (e.g. WBD-12); friendly ids are resolved within your organisation.
includeElements boolean — When true, returns the full Excalidraw scene so it can be modified and written back.

Parameters from the server's own tool schema.

Why getWhiteboard is rated Low

This tool performs information retrieval only. It fetches whiteboard data and scene structure without creating, modifying, deleting, or executing operations. The mention of data being 'needed if you intend to modify it' describes a downstream use case, not the tool's own action.

From the tool's definition Tool name 'getWhiteboard' and description explicitly states 'Read a whiteboard' and 'return the full Excalidraw scene' — retrieval operations with no modification.

Questions about getWhiteboard

What does the getWhiteboard tool do? +

Read a whiteboard: its metadata plus a summary of the canvas (element count, element types, and text labels on the board). Pass includeElements=true to also return the full Excalidraw scene ({elements, appState, files}) — needed if you intend to modify it and send it back via updateWhiteboardScene. FOR BEST RESULTS, also call getWhiteboardImage to render the board to an image and actually SEE it: the visual layout (positions, spacing, overlaps, colours, how shapes connect) is far easier to understand from the rendered picture than from the element list, so view it first to truly understand the board and to propose or verify edits accurately. It is categorised as a Read tool in the Stable Baseline MCP Server, which means it retrieves data without modifying state.

What parameters does getWhiteboard accept? +

getWhiteboard accepts 3 parameters: projectId, documentId, includeElements. Required: documentId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on getWhiteboard? +

Register the Stable Baseline MCP server in PolicyLayer and add a rule for getWhiteboard: 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 getWhiteboard? +

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

Can I rate-limit getWhiteboard? +

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

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

getWhiteboard 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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