Create a new voice agent with specified voice, LLM, and language settings. WHEN TO USE: - Setting up a new voice agent from scratch - No existing agent fits the use case WORKFLOW: 1. list_voices → choose voice_id 2. create_retell_llm → create prompt/model config 3. create_agent → point response_e...
AI agents use create_agent to create or update resources in Apple Shortcuts — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Apple Shortcuts environment.
This tool creates and configures a new persistent resource (a voice agent) that will have ongoing effects—it can be published and bound to phone numbers for live calls. This is a Write operation (creates/modifies data reversibly) rather than Execute because the tool itself doesn't perform external actions; it sets up infrastructure.
From the tool's definition Tool creates a new voice agent with specified configurations (voice, LLM, language settings). The description states 'Create a new voice agent' and the workflow shows it persists configuration by pointing to created LLM resources and publishing/binding the…
Documented attack patterns abuse exactly the kind of access create_agent gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Apple Shortcuts, and nothing reaches the server without passing your rules. This is the rule we recommend for create_agent:
{
"version": "1",
"default": "deny",
"tools": {
"create_agent": {
"limits": [
{
"counter": "create_agent_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}create_agent stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Create a new voice agent with specified voice, LLM, and language settings. WHEN TO USE: - Setting up a new voice agent from scratch - No existing agent fits the use case WORKFLOW: 1. list_voices → choose voice_id 2. create_retell_llm → create prompt/model config 3. create_agent → point response_engine.llm_id at that LLM 4. publish_agent → make the version live 5. update_phone_number → bind the agent for calls EXAMPLE: {. It is categorised as a Write tool in the Apple Shortcuts MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Apple Shortcuts MCP server in PolicyLayer and add a rule for create_agent: 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 Apple Shortcuts. Nothing to install.
create_agent is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the create_agent 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 create_agent. 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.
create_agent is provided by the Apple Shortcuts MCP server (@mindstone/mcp-server-apple-shortcuts). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Apple Shortcuts, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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423 Apple Shortcuts tools catalogued and risk-classified — across an index of 43,000+ MCP servers.