autoDesignWhiteboard
Auto-design a complete, visually polished whiteboard from a natural-language goal using the PREMIUM multi-agent pipeline (the same one the in-app assistant uses): it browses the stencil/icon library, composes the WHOLE board, renders it, critiques the rendered image, and refines — far better than...
This record as markdown: /tools/io-stablebaseline-sb/autodesignwhiteboard.md
What autoDesignWhiteboard does on Stable Baseline
AI agents invoke autoDesignWhiteboard to trigger actions in Stable Baseline. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
goal | string | Yes | The board to build, in plain language. |
title | string | — | Optional board title. If omitted, a clear title is derived from the goal (the board is never left 'Untitled'). When designing into an existing 'Untitled' board, |
confirm | boolean | — | Set true ONLY after the user has approved the 50-credit cost. Leave unset/false on the first call to receive the cost quote + balance. |
projectId | string | — | The project to create the whiteboard in, when no documentId is given. |
brandKitId | string | — | Optional brand kit id (from listBrandKits) to theme a branded-executive deck. If omitted, the org's built-in default is used. Create one from just a logo (or a |
documentId | string | — | Optional. An existing whiteboard to design into. If omitted, a new whiteboard is created in projectId. |
designProfile | string | — | Optional. 'standard' (default) = the general multi-agent design. 'agentic' = an AI-chat-style agentic slide composer that drives the whiteboard tools and self-c |
sourceTranscript | object | — | Design the board from a meeting transcript (exactly one of documentId or text). When set, the board is built as a 'meeting map' (topics, decisions, actions) fro |
Parameters from the server's own tool schema.
Why autoDesignWhiteboard is rated High
This tool executes a complex, multi-step autonomous operation (the PREMIUM multi-agent pipeline) that browses resources, generates visual content, and iteratively refines based on AI critique.
From the tool's definition The tool 'browses the stencil/icon library, composes the WHOLE board, renders it, critiques the rendered image, and refines' — this orchestrates a multi-agent pipeline with external operations (browsing libraries, rendering, image critique).
Risk signalsHigh parameter count (10 properties)
Attacks that exploit this kind of access
The rule that runs autoDesignWhiteboard safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Stable Baseline, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For autoDesignWhiteboard, this is the rule to start with:
autoDesignWhiteboard stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Stable Baseline, apply this rule, and every autoDesignWhiteboard call is checked against it from then on.
Questions about autoDesignWhiteboard
Auto-design a complete, visually polished whiteboard from a natural-language goal using the PREMIUM multi-agent pipeline (the same one the in-app assistant uses): it browses the stencil/icon library, composes the WHOLE board, renders it, critiques the rendered image, and refines — far better than hand-placing shapes. This is the one-shot whole-board designer; it is NOT a conversation (for a deck you can chat with and refine turn by turn use designDeckInWhiteboard, and for a refinable illustration use designIllustrationInWhiteboard). COST + APPROVAL: this costs 50 credits per board and requires the user's explicit approval. Call it FIRST without confirm to get the exact cost + the workspace credit balance; show that to the user and only call again with confirm: true once they agree. If they decline (or lack credits), build the board directly with the standard whiteboard tools (addWhiteboardElements / insertWhiteboardDiagram / listWhiteboardStencils) at no extra charge. It runs in the BACKGROUND and returns immediately with a sessionId; the board fills in over 1-3 minutes. The 50 credits are refunded automatically if the design fails on our side. Optional designProfile: 'branded-executive' instead builds an ON-BRAND, fully-editable McKinsey-style SLIDE DECK themed by the org's brand kit (palette/fonts) — use it when the user wants polished branded business slides; it builds in-process and the board is ready on return. Optional designProfile: 'illustrated' instead builds an editable-illustration board: pick it for illustrated, image-based, picture-style, richly-drawn or educational explainer boards (e.g. illustrate photosynthesis, an illustrated diagram of the water cycle, a textbook-style visual). It generates a rich text-free vector illustration and overlays real, editable text labels with leader lines on top. It is available to every organisation and costs the same flat 50 credits (credits are the only gate). Optional designProfile: 'image' instead builds a single, polished, on-brand IMAGE board with all the text baked into the picture (no editable shapes): pick 'image' when the user wants a single finished image, poster or infographic they will refine by AI mask edits rather than by moving editable shapes. It is also available to every organisation at the same flat 50 credits. It is categorised as a Execute tool in the Stable Baseline MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
autoDesignWhiteboard accepts 8 parameters: goal, title, confirm, projectId, brandKitId, documentId, designProfile, sourceTranscript. Required: goal. The full parameter table on this page comes from the server's own tool schema.
Register the Stable Baseline MCP server in PolicyLayer and add a rule for autoDesignWhiteboard: 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.
autoDesignWhiteboard is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the autoDesignWhiteboard 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 autoDesignWhiteboard. 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.
autoDesignWhiteboard 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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