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

说明与用途

开发者应验证工具参数，向用户澄清缺失信息，并确认结果，以避免 AI 代理错误。

问题

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

结果

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

工作流

• 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

证据

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

来源

The validation step detects missing fields and invalid time ranges.

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

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