If an agent fails and you only have the final answer, you are debugging blind. This article explains how useful traces expose the exact step, tool, state, or context failure that actually broke the run.
When you reduce hidden state and focus on clear transformations, debugging turns from detective work into simple reasoning.
SCORM 2004 is not one specification. It is a family of editions. If your content behaves differently across LMS platforms, the issue may not be your implementation. It may be how each system interprets a specific edition.
Reliable agents are not the ones that never fail. They are the ones that fail into the right path. Here is how to classify tool failures into retry, replan, user input, or hard stop, and why retry policy belongs at the tool boundary.
Real world software fails not because it is complex, but because it was designed for ideal conditions.
In SCORM 2004, the manifest is not just structure. It is behavior. If sequencing fails, navigation breaks, or activities become unreachable, the root cause is often not your code. It is your imsmanifest.xml.
Most bad agent experiences come from bad stopping decisions. Learn how to design stop logic in code with explicit exit states, tool signals, step limits, and traceable runtime policies.
The less your code knows about its surroundings, the easier it is to change safely.
Understanding sequencing concepts is one thing. Implementing them correctly is where most projects fail. SCORM 2004 gives you full control over learning behavior, but only if your rules are precise, aligned, and tested across all paths.
Tool use is where an agent stops generating text and starts affecting real systems. This article explains why tool design acts as both decision boundary and action contract, and how better schemas, validation, and tracing make tool calling agents more reliable.