Enables managing employee leave through natural language, including applying, approving, rejecting, and canceling leave, checking balances, and listing requests, using an in-memory data model.
Enables AI agents to interact with a deliberately challenging leave/attendance workflow, including leave search, status transitions, approvals, withdrawals, and balance queries, with strict state-machine constraints and elicitation-based confirmations.
A centralized employee leave management system that allows users to check leave balances, apply for leave, and view leave history through an OpenAPI interface.
Enables natural-language-based employee leave management including leave balance checks, leave applications, approvals, and history retrieval through an MCP-compatible client.