Content
100%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is a tight, executable overview of OTTL use: complete code examples, a sequenced debugging workflow with diagnostic checkpoints, and well-signaled one-level-deep references. It assumes Claude's competence and avoids explaining background concepts Claude already knows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and assumes competence — it never explains what OTel or a collector is, and all explanatory prose covers non-obvious domain knowledge (silent nil behavior, OR vs AND conditions, pipeline ordering) rather than padding, so every token earns its place. | 5 / 5 |
Actionability | Provides multiple complete, copy-paste-ready YAML snippets (error_mode config, ParseJSON body promotion, keep_keys cardinality reduction, extract_sum_metric/extract_count_metric, SHA256 redaction) with specific contexts and functions covering the common cases. | 5 / 5 |
Workflow Clarity | The 'Debug an OTTL statement' workflow is a clearly sequenced 7-step process with a diagnostic feedback loop (Collector message → root cause → first action via the Error patterns table) and an explicit gate ('Only then propose the corrected statement'); no destructive batch operation cap applies. | 5 / 5 |
Progressive Disclosure | Six real reference files in references/ are signaled inline at each relevant concept (→ [references/...md]) and listed in a References footer with one-line descriptions; structure is one level deep, well-organized, and easy to navigate, with the body acting as a true overview. | 5 / 5 |
Total | 20 / 20 Passed |