Content
68%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 body is a dense, well-structured, largely executable reference covering all modalities and sync/async usage. Its main weakness is the absence of validation and error-recovery checkpoints around destructive and long-running operations, which caps workflow clarity.
Suggestions
Add explicit validation checkpoints before destructive operations, e.g. verify an analyzer exists via get_analyzer before delete_analyzer, and confirm analysis succeeded (check poller status) before accessing results.
Introduce an error-recovery feedback loop for long-running analysis (poll -> on failure inspect the error -> retry/adjust), since video/audio analysis can take minutes and fail.
Extract repeated client-construction boilerplate into a single setup snippet referenced from each example, or move per-modality API detail into reference files to reduce inlined duplication.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean with code-forward sections and no padding of concepts Claude already knows, but the client-setup boilerplate is repeated across multiple code blocks, keeping it just below fully efficient. | 4 / 5 |
Actionability | Provides copy-paste-ready executable Python for sync/async clients, all four modalities, custom analyzer creation, and management, with minor gaps around error handling and the result.fields walkthrough. | 4 / 5 |
Workflow Clarity | The Core Workflow sequences begin/poll/process clearly, but destructive (delete_analyzer) and long-running batch operations lack validation checkpoints or error-recovery feedback loops, which caps this dimension at 3 per the rubric precedence rule. | 3 / 5 |
Progressive Disclosure | Well-organized with clear section headers and no nested-reference problem (no bundle files exist), but substantial API-reference-style material is inlined with no one-level-deep references for deeper navigation. | 4 / 5 |
Total | 15 / 20 Passed |