update_dataset

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

Without annotations, the description does not disclose behavioral traits such as required permissions, side effects (e.g., whether other properties are affected), or what the tool returns. The lack of detail on the 'properties' object's allowed keys further reduces transparency.

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 a single, concise sentence with no unnecessary words. It gets straight to the point.

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 that there is an output schema (indicating a response), no output description is provided. The tool mutates data, but no prerequisites or typical usage context is given. The description is incomplete for the complexity of the 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 0%, and the description only lists a few example property names (compression, quota, comments) without explaining the 'name' parameter or providing exhaustive guidance. The 'properties' object is left largely unspecified, which is insufficient for proper parameter understanding.

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 the action ('Update') and the resource ('dataset properties'), with specific examples (compression, quota, comments). It distinguishes from sibling tools like create_dataset and delete_dataset, though it could be more precise about the scope of updatable properties.

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?

No guidance on when to use this tool versus alternatives. The description does not specify that the dataset must exist, nor does it mention when to use create_dataset or delete_dataset instead.

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