Content
76%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.
Actionable and well-organized content with executable code and clear navigation to examples, but the deploy workflow lacks an explicit validation checkpoint, capping workflow clarity. Verifying the referenced examples/ files exist would strengthen progressive disclosure.
Suggestions
Add an explicit validation step before deploy (e.g., run `databricks bundle validate` or confirm the agent starts) so the destructive/batch deploy workflow clears the workflow_clarity cap of 3.
Confirm the files listed in the resource-type table actually exist under examples/ and reference them with links so progressive disclosure can score higher.
Move the duplicate YAML block for custom MCP servers fully into examples/custom-mcp-server.md to reduce inlined redundancy and improve conciseness.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely lean with executable code blocks and minimal concept explanation, though the resource-type table and repeated YAML blocks add some length that could be trimmed by deferring more to the examples/ directory. | 4 / 5 |
Actionability | Provides copy-paste ready Python and YAML snippets with concrete resource names, permission values, and a CLI version requirement, covering the common MCP and custom-app cases fully. | 5 / 5 |
Workflow Clarity | A clear three-step sequence (add server, grant access, deploy) is present, but the deploy step involves a bundle change with no validation checkpoint before deploy, and the rubric caps destructive/batch operations without validation at 3. | 3 / 5 |
Progressive Disclosure | Good structure with a resource-type table pointing to the examples/ directory and cross-references to sibling skills, but the examples/ directory is referenced without confirming the files exist and some YAML detail is inlined that could live in those files. | 4 / 5 |
Total | 16 / 20 Passed |