load_dataset

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

With no annotations, the description carries the burden of disclosing behavior. It mentions that data is loaded into memory and that a handle is returned, which are key behavioral traits. However, it fails to note whether the operation is read-only, whether network access is needed for URLs, or potential memory implications. It is not misleading, but lacks depth.

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, well-formed sentence that efficiently conveys the core functionality without unnecessary detail. It is front-loaded with the action and ends with the return value, making it easy to parse.

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?

The tool has an output schema (though not shown) and comprehensive parameter descriptions, so return values are likely covered. However, the description does not explain what the 'handle' is or how it should be used with sibling tools like run_checkpoint. The lack of usage context makes it less complete for an agent unfamiliar with the workflow.

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?

Schema coverage is 100%, and the schema already documents all parameters with descriptions. The description adds minimal semantic value by enumerating sources (CSV string, URL, local file) which aligns with the source_type parameter, but this is also captured in the schema's 'source' description. No additional parameter guidance is provided.

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 that the tool loads data from CSV string, URL, or local file into memory and returns a handle. This is a specific verb (load) with a clear resource (data) and enumerates the source types, effectively distinguishing it from sibling tools that operate on checkpoints or validation results.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention prerequisites, such as needing to load data before running a checkpoint, nor does it reference any alternative loading mechanisms. It simply states what the tool does without context.

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