xql_get_datasets

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only restates the purpose and notes licensing and endpoint. It does not mention return format, pagination, rate limits, or potential side effects, leaving the agent without important behavioral context beyond what the tool name implies.

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 concise overall but redundant: 'Get all datasets' is immediately restated in the first sentence of the body. It includes useful info like license and endpoint, but the repetition wastes a sentence. The markdown formatting is clean but doesn't add semantic value.

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 absence of annotations, an output schema, and any parameter documentation, the description is insufficient for an agent to understand the tool's full behavior. It lacks parameter semantics, return value expectations, and any operational caveats, making it inadequate for a tool with even moderate complexity.

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, request_data, has no schema description and zero schema coverage. The description does not mention it at all, so the agent receives no semantic information about what this parameter should contain or how to structure it. This is a critical gap for correct invocation.

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 'Get all datasets' and elaborates with 'Retrieve a list of all the datasets and their properties,' which conveys a specific verb and resource. It doesn't explicitly distinguish from sibling tools like dataset_get_created_datasets, but the scope of 'all datasets' is reasonably clear from the name and text.

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 is provided on when to use this tool versus alternatives. The only usage-related information is the required license, which is a prerequisite rather than a contextual usage direction. The description lacks any mention of when this tool should be preferred over similar dataset-related tools.

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