bug: Lacks Guidance and Uses Unclear Taxonomy on Domain Values(e.g., agent)

Describe the bug

In the “Configure the Domain” step of the my_weather_tool resource server tutorial, users are instructed to set domain: agent and are given a list of possible domain values. However, the domain categories are unevenly scoped (e.g., agent is very broad while others are specific task types like math or coding), and there’s little explanation of how domains differ or how to choose the right one. This makes the configuration feel arbitrary and non-intuitive.
Steps/Code to reproduce bug

Please list minimal steps or code snippet for us to be able to reproduce the bug.

A helpful guide on on how to craft a minimal bug report http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports.

Expected behavior

The tutorial should clearly explain:
What domain is for (and what changes when it’s set)
How each domain differs at a practical level
Decision guidance (a short rubric / decision tree)

Examples for each domain (1–2 lines each)
Configs
NeMo Gym (e.g. via ng_dump_config) or RL training framework config files.

Environment details

Otherwise, please provide:

• OS version
• Python version
• uv pip list output

Additional context

Add any other context about the problem here.
Example: GPU model

Start with the linked “Configure the Domain” section in the my_weather_tool resource server tutorial and inspect the domain configuration referenced by ng_dump_config. Document what domain controls, distinguish the available categories, add a short selection rubric or decision tree, and provide one or two examples for each domain.