list_datasets

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. It only states 'List all datasets' without mentioning pagination behavior, how the optional 'project' parameter affects scope, or any other side effects or limitations. This is a significant gap for a tool with pagination parameters.

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 and front-loaded with the action, but it is under-specified, lacking necessary parameter context to be fully useful. It is not verbose, but it omits essential details.

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?

While the tool is relatively simple and has an output schema, the description is incomplete because it fails to clarify the pagination parameters and the semantics of the optional 'project' parameter. With no annotations, the description should provide more context for correct invocation.

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 schema description coverage is 0%, so the description must compensate by explaining parameters. It does not mention 'page,' 'limit,' or explain that 'project' is optional and can be null. The only implicit reference is 'in the project,' which is ambiguous when the parameter is null. No added value over the bare schema.

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 uses the specific verb 'List' with the resource 'datasets' and specifies the scope 'in the project.' This clearly distinguishes it from sibling tools like get_dataset (single dataset) and list_projects (list projects).

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 usage when you want to enumerate all datasets, but it does not provide explicit guidance on when to use this tool versus alternatives like get_dataset or list_dataset_items, nor does it mention any exclusions or prerequisites.

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