AI agents invoke call_tool_auto_preview to trigger actions in Superkit. 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 |
|---|---|---|---|
port | number | — | |
action | string | Yes |
Parameters from the server's own tool schema.
This tool executes commands to start, stop, or check the status of a development server. These are Execute-category operations because they trigger external processes and system-level effects that depend on the arguments/parameters provided. While not destructive in itself, misuse could disrupt development workflows or expose the application.
From the tool's definition Tool description states it 'Manages (start/stop/status) the local development server' — starting and stopping a server are executable operations that trigger external processes with real effects on the system state.
Attacks that exploit this kind of access
Manages (start/stop/status) the local development server for previewing the application. It is categorised as a Execute tool in the Superkit MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
call_tool_auto_preview accepts 2 parameters: port, action. Required: action. The full parameter table on this page comes from the server's own tool schema.
Register the Superkit MCP server in PolicyLayer and add a rule for call_tool_auto_preview: 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 Superkit. Nothing to install.
call_tool_auto_preview 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 call_tool_auto_preview 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 call_tool_auto_preview. 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.
call_tool_auto_preview is provided by the Superkit MCP server (superkit-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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