list_datasets_v1_datasets_get

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

With no annotations, the description must disclose behavioral traits. It states the endpoint is public and returns paginated lightweight summaries, but lacks details on rate limits, authentication, response structure, or pagination behavior (e.g., default limit, maximum limit). The basic safety profile is communicated, but depth is missing.

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 at two sentences, front-loading the core purpose and including a clear alternative guidance. Every sentence adds value without redundancy.

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 has 5 parameters, no output schema, and no annotations, the description provides minimal context. It explains the high-level purpose and response nature but omits details on parameter usage, default behavior (e.g., sort order, page size), and error handling. The schema partially fills gaps, but the description itself is incomplete for a listing endpoint.

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 description adds no information about parameters. Schema coverage is 60%—three of five parameters have descriptions in the schema (status, sort, provider), but limit and offset lack descriptions. The description does not compensate for these missing schema descriptions, leaving the agent with incomplete understanding of all parameters.

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 lists all datasets with pagination and returns lightweight summaries. It distinguishes from sibling endpoints like get_dataset_by_path or list_provider_datasets by explicitly directing users to individual dataset endpoints for full details, including schema_info and column_metadata.

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 context for when to use this tool (getting a high-level list) versus alternative tools (individual dataset endpoints for full details). However, it does not explicitly mention other listing alternatives like list_provider_datasets or list_user_datasets, which could be relevant for scoped queries.

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