get_dataset

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

No annotations are provided, so the description carries the full burden. It discloses the return structure truthfully, implying a read-only operation with no side effects. It could mention authentication requirements, but the omission is acceptable for a simple metadata tool.

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?

The description is front-loaded with a concise summary, then structured into Args and Returns sections. Every sentence adds value; no tautology or verbosity.

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 output schema exists, the description still elaborates return fields and ties them to sibling tools ('Use columns field_name values in query/profile calls'). This fully informs the agent of the tool's role within the suite.

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 adds essential meaning: it gives concrete examples for both domain and dataset_id, explains their format, and provides full context beyond the schema's type-only definitions.

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?

The description clearly states 'Dataset metadata: columns with types, row count, update cadence, license,' specifying the verb and resource. It implicitly distinguishes from siblings by focusing on metadata retrieval, not exporting, profiling, querying, sampling, or searching.

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?

The description provides parameter examples and notes to use column field_names in query/profile calls, guiding usage. However, it does not explicitly state when to choose this tool over siblings, though context is implied.

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