create_dataset_json

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

With no annotations, the description must disclose behavior. It states 'idempotent,' indicating repeated calls are safe and return the same dataset. However, it does not explain side effects, permissions required, or behavior if the name already exists beyond idempotency.

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?

Two concise sentences: one for the action and one for the return value. No redundant words. The information is front-loaded and efficiently presented.

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 simple tool with one parameter and no output schema, the description covers creation and return. It could explain idempotency behavior in more detail (e.g., returns the existing dataset if name exists). Overall, it is reasonably complete.

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?

The single parameter 'name' is a string and the description simply mentions 'given name'. Schema coverage is 0%, but the parameter is self-explanatory. The description does not add constraints (e.g., valid characters, length), but it does not need much more.

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 verb (create), the resource (dataset), and key characteristics (empty, idempotent). It also specifies the return structure. This distinguishes it from sibling tools like list_datasets_json which are for listing, not creating.

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 implies when to use (when you need to create an empty dataset) but does not explicitly state when not to use or mention alternative tools. The idempotency hint is helpful but no further guidance is provided.

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