Neural Mastery
← Practice
#108. Dynamic Tool Selectormedium

#108. Dynamic Tool Selector

mediumAgent Loop Engineering⏱ 15–20 min
⚡ Libraries allowed · Pure Python earns +10 bonus XP
🎯 Mission
Implement #108. Dynamic Tool Selector to master core AI engineering concepts in Agent Loop Engineering.

Task

Implement `dynamic_tool_selector` in Python. Test cases verify edge cases and functional requirements.

Function Signature

dynamic_tool_selector(*args, **kwargs)

Examples

Example 1: Basic Execution
Input: {}
Output: true
Explanation: Verifies core execution for #108. Dynamic Tool Selector.

Constraints

  • Libraries (NumPy, PyTorch, SciPy) are allowed and accepted normally.
  • Pure Python (no external libraries) earns +10 Bonus XP!
  • Must handle edge cases cleanly.
Python3Saved ✓
def dynamic_tool_selector(*args, **kwargs):
"""
Agent Loop Engineering - Problem #108: Dynamic Tool Selector
Implement solution for Dynamic Tool Selector in the Neural Mastery AI Engineering curriculum.
"""
# Implement core solution logic here
pass

Case 1: Basic Execution
Input: {}
Expected: true