dataset_create

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Create a new dataset' only states the action; it does not reveal whether the dataset is created empty, whether it requires permissions, what happens on duplicate names, or what the response looks like. This is insufficient for a mutation 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 a single, front-loaded sentence with zero wasted words. It is appropriately concise for a simple creation tool, and the structure is clean.

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?

For a tool with no output schema and no annotations, the description is too sparse. It does not explain what creating a dataset entails (e.g., whether files can be added later), any side effects, or the return value. This leaves the agent guessing at the tool's full behavior and consequences.

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%, with all parameters individually described (e.g., dataset_name, data_type, dataset_description). The tool description adds no additional parameter semantics, but per the baseline, the schema already provides adequate meaning.

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 'Create a new dataset' uses a specific verb and resource, clearly distinguishing it from sibling tools like dataset_list, dataset_get, and dataset_upload_files. It is concise and unambiguous, though it lacks additional detail such as whether the dataset is empty or requires a project connection.

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 no explicit guidance on when to use this tool versus alternatives. Usage is implied by the tool's name and the existence of sibling tools, but there is no mention of prerequisites, such as needing a project first, or when not to use it.

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