cross_dataset_query_v1_query_post

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

No annotations provided, so description carries full burden. It discloses the use of DuckDB, loading parquet files, and restriction to SELECT. Auth is mentioned. Could include more on error handling or result structure, but covers key traits.

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?

Description is short and front-loaded. However, it contains redundancy (first sentence repeats the second). Generally efficient.

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?

No output schema exists, and description does not explain return values or error handling. The response_format parameter hints at output types but lacks elaboration. Moderate completeness for a query tool.

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?

Schema description coverage is 100%, so baseline is 3. Description adds context for the 'sql' parameter (table notation) but no additional meaning for params, timeout_ms, row_limit, response_format, or view.

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?

Description clearly states the verb (Execute SQL query) and resource (across multiple datasets). It specifies table notation and only SELECT statements, distinguishing it from sibling tools like sql_query_v1_datasets__provider___dataset__query_post.

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?

Provides clear context on table notation and allowed statements (SELECT only). However, it does not explicitly compare to alternative tools or mention when not to use it, missing a full guideline.

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