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tool_call_validation
ai-agents-tool-call-validation-pydantic-validationerror-when-the-llm-returns-tool-1f5318b2
IFPydantic ValidationError when the LLM returns tool arguments as nested dicts instead of primitive strings.
THENCheck your tool function signatures: if a parameter expects a plain string but the model returns a dict (e.g., {'category': 'math'}), update the tool to unwrap the dict. For production, ensure your tool schemas clearly define expected types and consider post-processing the arguments before calling the tool.
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