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 board, renders it, critiques the rendered image, and refines — far better than hand-placi...
Part of the Stable Baseline server.
Free to start. No card required.
AI agents invoke designWhiteboard to trigger processes or run actions in Stable Baseline. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
designWhiteboard can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"designWhiteboard": {
"limits": [
{
"counter": "designwhiteboard_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} See the full Stable Baseline policy for all 184 tools.
These attack patterns abuse exactly the kind of access designWhiteboard gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
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 board, renders it, critiques the rendered image, and refines — far better than hand-placing shapes. 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.. 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.
Register the Stable Baseline MCP server in PolicyLayer and add a rule for designWhiteboard: 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.
designWhiteboard 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 designWhiteboard 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 designWhiteboard. 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.
designWhiteboard 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.
Deterministic rules across all 184 Stable Baseline tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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