set_result_set_caching

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so description carries the burden. It discloses that it executes an ALTER DATABASE command and returns effective settings after change, plus a note about endpoint limitations. Lacks details on permissions or side effects, but sufficient given no annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured: a one-line summary, the SQL command, a note about endpoints, and a clear Args list. No wasted words, every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema, the description covers purpose, parameters, and behavior sufficiently. It explains what the tool returns ('effective settings read back') and addresses limitations, making it complete for an agent to use.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description fully compensates by explaining all three parameters (workspace, item, enabled) in the Args section, clarifying their roles beyond the schema's names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states 'Enable or disable result-set caching on a warehouse' with a specific verb and resource, distinguishing it from siblings that deal with tables, views, or other settings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Mentions applicable entities (Data Warehouses and SQL Analytics Endpoints) and a caveat about SQL Analytics Endpoints, providing context on where it works. Does not explicitly state when not to use it or compare with alternatives, but enough guidance is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.