Content
65%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, actionable skill body with good code examples and a useful reference table, held back by a missing deploy-verification step and example files that cannot be verified against the bundle.
Suggestions
Add an explicit validation/verification step after deploy (e.g., confirm the agent can invoke the tool or check bundle deploy status) to lift workflow_clarity above the destructive-operation cap.
Ensure the referenced examples/ files actually ship in the bundle, or inline the most critical YAML snippets so the guidance is self-contained.
Move the CLI minimum-version note (v0.298.0+) into a clearly labeled requirements note to avoid time-sensitivity penalization.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean body of code blocks, a resource-type table, and short notes that mostly assume Claude's competence; minor explanatory prose ("Without this, you'll get permission errors...") and a version number (v0.298.0+) keep it just below the top anchor. | 4 / 5 |
Actionability | Provides executable McpServer code, databricks.yml YAML, a timeout example, and the `databricks bundle deploy` command, but the bulk of resource-type examples are delegated to an examples/ directory rather than being copy-paste inline. | 4 / 5 |
Workflow Clarity | Step 1/2/3 sequence is clear (add MCP server, grant access, deploy), but there is no validation or verification checkpoint before the deploy, so the destructive-deploy cap at 3 applies. | 3 / 5 |
Progressive Disclosure | Sections are well organized and references are signaled via a clear file table, but the referenced examples/ files are not present in the bundle to verify, leaving the one-level-deep references unconfirmable. | 3 / 5 |
Total | 14 / 20 Passed |