list-datasets

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

No annotations are present, so the description is the sole source of behavioral context. It discloses that the tool returns an array of dataset objects with metadata and provides an example return. However, it does not mention whether any authentication is needed, if there are rate limits, or if results are scoped to a project or workspace.

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 core purpose is stated in the first sentence, which is good. However, the description includes a lengthy definition of datasets and a multi-line example return that adds verbosity. The structure is acceptable but could be trimmed to essential information without losing clarity.

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 list tool with one optional parameter and no output schema, the description provides a decent overview of functionality and return shape. However, it lacks parameter description and usage guidelines, leaving minor gaps. It is adequate but not fully 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 schema coverage is 0% because the description does not mention the 'limit' parameter. The input schema defines a single optional parameter with default (100) and bounds (1-500). The description adds no semantic value beyond the schema, leaving the agent to infer the parameter's purpose from context.

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 starts with a clear verb+resource: 'Get a list of all datasets.' It defines datasets and provides an example usage. This distinguishes it from siblings like 'get-dataset' (single dataset) or 'list-projects' (different resource).

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 includes an example usage ('Show me all available datasets') but lacks explicit guidance on when to use this tool versus alternatives, such as 'get-dataset' for a specific dataset. No exclusion criteria or context for not using it are provided.

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