Stop Guessing: How to Handle Missing Parameters in AI Agent Tool Calls

Описание и применение

Разработчики AI‑агентов должны проверять параметры перед вызовом инструментов, уточнять недостающие данные у пользователя и подтверждать результат, чтобы избежать ошибок.

Задача

AI agents often execute tool calls with incomplete or invalid parameters, leading to failures or incorrect actions.

Результат

Implementing a validation–clarification–verification workflow prevents agents from guessing missing parameters, leading to more reliable tool interactions.

Рабочий процесс

• Extract parameters from user request
• Validate parameters using a schema (e.g., Pydantic)
• If validation fails, determine if error can be resolved from context or requires user clarification
• Ask user for missing or ambiguous information
• Rebuild and revalidate the request
• Authorize the action
• Execute the tool call
• Verify the outcome

Доказательства

If it calls the calendar API with incomplete arguments, the operation might fail entirely.

Источник

The validation step detects missing fields and invalid time ranges.

Источник

The agent must first determine whether the error can be resolved from authorized context or whether it needs to ask the user.

Источник