Lists multiple specific concrete actions: adding MCP servers, Genie spaces, vector search, UC functions, granting permissions, and configuring databricks.yml resources. These are concrete, identifiable tasks.

Clearly answers both 'what' (add tools to agent and grant permissions in databricks.yml) and 'when' with an explicit 'Use when:' clause listing four distinct trigger scenarios including user phrases and error conditions.

Includes natural keywords users would say: 'add tool', 'connect to', 'grant permission', 'MCP servers', 'Genie spaces', 'vector search', 'UC functions', 'databricks.yml', 'permission errors'. Good coverage of both natural language and domain-specific terms.

Highly distinctive with specific references to databricks.yml, MCP servers, Genie spaces, vector search, and UC functions. These are niche enough to avoid conflicts with general coding or configuration skills.

Mostly efficient but has some unnecessary explanation (e.g., 'Without this, you'll get permission errors when the agent tries to use the resource' and the MCP error handling section explaining SDK default behavior). The notes section also contains some obvious guidance like 'Deploy after changes'.

Provides fully executable Python code for adding MCP servers, complete YAML snippets for granting permissions, and a clear resource type reference table. The examples are copy-paste ready with realistic structure.

The 3-step workflow is clearly sequenced, but lacks validation checkpoints. There's no step to verify the deployment succeeded, no guidance on checking that permissions were actually granted, and no error recovery loop if the deploy fails or permissions are incorrect.

Excellent structure with a concise overview, clear references to example files in the `examples/` directory via a well-organized table, and appropriate cross-references to related skills (create-tools, deploy). Content is well-split between inline essentials and external detailed examples.