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

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

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 user-facing phrases and technical terms.

Highly distinctive with specific Databricks ecosystem terms (databricks.yml, MCP servers, Genie spaces, vector search, UC functions). Unlikely to conflict with other skills due to the narrow, well-defined domain.

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 'Important Notes' section contains some obvious reminders that could be trimmed.

Provides fully executable Python code for adding MCP servers, complete YAML snippets for granting permissions, and specific commands for deployment. The examples are copy-paste ready with realistic resource IDs and structure.

The 3-step workflow is clearly sequenced (add server → grant access → deploy), but lacks explicit validation checkpoints. There's no step to verify permissions were granted correctly or to check for errors after deployment, which is important for permission-granting operations that can fail silently.

Excellent structure with a concise overview workflow, a well-organized reference table pointing to example files in `examples/` directory, and clear cross-references to related skills (create-tools, deploy). References are one level deep and clearly signaled.