Clarifies the differences between approaches and their respective use cases

[azarboon]

Description

This update explains the two ways of using the agent—natural language and direct tool calls—and guides users in selecting the appropriate approach by highlighting relevant use cases.

Type of Change

• New content addition
• Content update/revision
• Structure/organization improvement
• Typo/formatting fix
• Bug fix
• Other (please describe):

New content addition

Motivation and Context

The current documentation is incomplete and does not provide clear guidance on when to use natural language versus direct tool calls. Although both methods are mentioned, their appropriate use cases are not explained, requiring consultation of external sources. As an authoritative reference, the documentation should clearly differentiate the methods and guide users in selecting the correct approach for their scenario. Using the wrong method, for example natural language where predictable execution is required, can lead to serious issues. This update addresses these gaps by providing clear, practical guidance.

Areas Affected

• docs\examples\python\weather_forecaster.md

Screenshots

Checklist

• I have read the CONTRIBUTING document
• My changes follow the project's documentation style
• I have tested the documentation locally using mkdocs serve
• Links in the documentation are valid and working
• Images/diagrams are properly sized and formatted
• All new and existing tests pass

Additional Notes

By submitting this pull request, I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.

[yonib05]

This looks great. Thank you so much for the contribution! We will merge and deploy on our next release.