Sounds good for tasks like the excel example in the article, but I wonder how this approach will hold up in other multi-step agentic flows. Let me explain:

I try to be defensive in agent architectures to make it easy for AI models to recover/fix workflows if something unexpected happens.

If something goes wrong halfway through the code execution of multiple 'tools' using Programmatic Tool Calling, it's significantly more complex for the AI model to fix that code and try again compared to a single tool usage - you're in trouble, especially if APIs/tools are not idempotent.

The sweet spot might be using this as a strategy to complete tasks that are idempotent/retryable (like a database 'transaction') if they fail half way through execution.