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Overview
- Tools allow Claude to retrieve extra information by executing Python functions automatically
- The notebook "001 Tools" contains boilerplate code and helper functions to save time
- Focus on implementing tools without helper functions initially to avoid confusion during refactoring
Tool Function Best Practices
Naming and Arguments
- Use well-named and descriptive function arguments
- Argument names should hint at their purpose
Input Validation
- Always validate inputs and raise errors if something is wrong
- Validation prevents Claude from receiving invalid data
Error Messages
- Include meaningful error messages when raising errors
- Claude can see error messages and may retry the tool call with corrected parameters
- Error messages guide Claude toward fixing mistakes (e. g. , "location cannot be empty")
Example: get_current_date_time Function
Structure
- Takes a date_format parameter with a default value (e. g. , "%Y-%m-%d %H:%M:%S")
- Returns the current date and time formatted according to the provided format string
- Uses datetime. now(). strftime(date_format) to format output
Validation
- Check that date_format is not an empty string
- Raise ValueError with message "date format cannot be empty" if validation fails
- Prevents Claude from passing invalid format strings
Usage Examples
- Default format returns: year-month-day hour:minute:second
- Custom format (e. g. , "%H:%M") returns only hour and minute
Takeaways
- Tools allow Claude to automatically execute Python functions to retrieve extra information
- Always validate tool function inputs and raise meaningful errors so Claude can see what went wrong and retry with corrected parameters
- Use well-named, descriptive function arguments and include helpful error messages that guide Claude toward fixing mistakes
- Tool functions should have clear structure with default parameter values and proper error handling (e. g. , checking for empty strings)
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