list_datasets

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool is for retrieval (read-only) and mentions pagination, but doesn't cover important aspects like rate limits, authentication requirements, error conditions, or what happens with invalid parameters. The 'Returns' section mentions paginated results with source types, but lacks detail on response structure.

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 well-structured with clear sections for purpose, arguments, and returns. While comprehensive, it's appropriately sized for a tool with 13 parameters. Every sentence earns its place, though the parameter explanations could be slightly more concise.

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 tool's complexity (13 parameters, no annotations) and the presence of an output schema, the description is reasonably complete. It explains the tool's purpose, documents all parameters thoroughly, and mentions the return type. However, it lacks behavioral context like error handling or performance characteristics that would be helpful for a complex retrieval 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?

With 0% schema description coverage and 13 parameters, the description provides comprehensive parameter documentation in the 'Args' section, explaining each parameter's purpose, defaults, and constraints. This fully compensates for the lack of schema descriptions and adds significant value beyond the basic 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 clearly states the tool's purpose with specific verb ('Retrieves') and resource ('paginated list of datasets'), and distinguishes it from siblings by specifying it's for datasets (topics and other data sources) rather than topics alone or other resources. This differentiates it from tools like list_topics or list_environments.

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 guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like get_dataset (for single dataset details) or list_topics (for topics only), nor does it specify prerequisites or contextual constraints beyond the required environment parameter.

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