Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality incident runbook that is concise, actionable, and well-structured. It provides executable triage scripts, clear decision trees, concrete remediation code, and useful communication templates without wasting tokens on explanations Claude already knows. The only minor weakness is that the content is somewhat long for a single file and could benefit from splitting detailed code examples into referenced bundle files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is lean and efficient throughout. It avoids explaining what APIs, HTTP codes, or incident response are. Every section delivers actionable information without padding. The tables, decision tree, and code blocks are all dense with useful content. | 3 / 3 |
Actionability | Provides fully executable bash scripts for triage, concrete TypeScript code for rate limiting and fallback patterns, copy-paste ready communication templates, and specific URLs for remediation (dashboard.exa.ai). The decision tree maps errors directly to actions. | 3 / 3 |
Workflow Clarity | The workflow is clearly sequenced: severity classification → quick triage script → decision tree → specific remediation by error code → communication → post-incident review. The triage script has built-in validation (checking HTTP code, showing error details). The decision tree provides clear branching logic for error recovery. | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear sections and headers, and references `exa-data-handling` and `exa-debug-bundle` at the end. However, some sections (like the TypeScript code examples and communication templates) could potentially be split into referenced files to keep the main runbook more scannable. The external references at the bottom are minimal and not deeply signaled. | 2 / 3 |
Total | 11 / 12 Passed |