Content
80%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.
Highly actionable, well-structured content with executable commands and a clean reference split, weakened only by the lack of explicit validation checkpoints around its destructive operations.
Suggestions
Add explicit pre-delete validation steps for destructive commands, e.g. 'Run list-… first to confirm the id, then delete' as a numbered feedback loop rather than an inline comment.
Add a readiness feedback loop for the KA flow (poll get-knowledge-assistant until status is ONLINE before proceeding) mirroring the supervisor endpoint-readiness guidance.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean — commands plus terse gotcha comments with no basic-concept padding — but a couple of brief intro lines ('pre-built AI tiles in Databricks that provide conversational interfaces') could be trimmed, matching the 'efficient; minor over-explanation' anchor rather than the fully bare 5. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready `databricks` CLI commands with real flags and JSON payloads cover the common cases (create KA, add source, sync, create supervisor, attach Genie/KA tools, add examples). | 5 / 5 |
Workflow Clarity | Sequences and async-status checks (CREATING→ONLINE, endpoint readiness) are present, but destructive deletes carry only inline 'confirm the id first' warnings with no explicit pre-delete validation feedback loop, so per the guideline workflow clarity is capped at 3. | 3 / 5 |
Progressive Disclosure | The body is a well-organized overview with a Reference table pointing to real, one-level-deep files (references/1-knowledge-assistants.md, references/2-supervisor-agents.md), giving clear navigation and an appropriate content split. | 5 / 5 |
Total | 17 / 20 Passed |