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.
A well-structured, highly actionable body with excellent progressive disclosure into four real, anchor-linked reference files. The main weakness is workflow safety: the dev workflow lacks an explicit validate-fix-retry feedback loop and the destructive bundle destroy command appears without any checkpoint.
Suggestions
Add an explicit feedback loop to the Development Workflow (e.g., 'If validate fails, fix the issue and re-run bundle validate before deploying') and make validation a gate before deploy.
Add a caution/checkpoint around 'databricks bundle destroy --auto-approve' — confirm the target and run 'bundle validate' or list affected resources before destroying, since it is a destructive batch operation.
Align path examples across sections (scaffold output uses <project_name>/ while Project Structure shows my-job-project/, and quick-start notebook paths differ from the structure tree) so copied snippets match the generated layout.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and code-forward with almost no explanation of concepts Claude already knows; sections like the run_if list and permission levels are Databricks-specific and earn their tokens. Minor trimmable padding remains: the embedded CLAUDE.md template (~20 lines), the project-structure tree, and task/trigger summary tables that partially restate the reference files. | 4 / 5 |
Actionability | Nearly everything is copy-paste executable: a fully-formed non-interactive scaffold command ("databricks bundle init default-python --config-file <(echo '...')"), complete DABs YAML, runnable Python SDK snippets, and exact CLI commands for every common operation (list, get, run-now, cancel-run, delete, validate, deploy). Minor path inconsistencies (e.g., ../src/notebooks/extract.py vs src/my_notebook.ipynb) are cosmetic. | 5 / 5 |
Workflow Clarity | The Development Workflow lists a proper sequence (Validate → Deploy → Run → Check run status), but there is no feedback loop for validation failures (fix and re-validate is only implicit), and the destructive "databricks bundle destroy --auto-approve" appears with no warning or confirmation checkpoint. Per the rubric, missing validation around destructive operations caps this at 3. | 3 / 5 |
Progressive Disclosure | The body is a clear overview with well-signaled, one-level-deep references: a use-case-to-file table, and task-type and trigger tables linking to verified anchors in the four real reference files (task-types.md, triggers-schedules.md, notifications-monitoring.md, examples.md — all present with matching sections). Detail is appropriately split out and navigation is easy. | 5 / 5 |
Total | 17 / 20 Passed |