get_semantic_scholar_dataset_download_links

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

With no annotations provided, the description carries the full burden. It does disclose that the links are 'temporary,' which is a useful behavioral trait, but it does not specify expiry duration, access requirements, or other behavioral nuances. This adds some value but falls short of rich transparency.

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, concise sentence that front-loads the core purpose without extraneous words. Every word contributes meaning, making it highly efficient.

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 a simple interface with two parameters and an output schema, so the description need not elaborate on return values. However, it lacks context on how to discover valid release_id/dataset_name values, what 'temporary' implies operationally, and when to prefer this over sibling tools. Thus it is adequate but not 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?

Schema description coverage is 0% and the description provides no additional parameter semantics beyond the parameter names themselves. While release_id and dataset_name are fairly self-explanatory, the description does not clarify formats, sources, or relationships (e.g., that dataset_name belongs to the given release), so it fails to compensate for the lack of schema descriptions.

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 verb 'Get' and the resource 'temporary download links for one dataset in a release,' identifying exactly what the tool does. It also distinguishes itself from sibling tools like get_semantic_scholar_dataset_release and get_semantic_scholar_dataset_diffs by focusing on download links for a single dataset.

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 implied usage is that this tool is for obtaining download links for a dataset within a release, but it provides no explicit guidance on when to use it versus alternatives, prerequisites (e.g., knowing the release_id), or when not to use it. The context from sibling names suggests differentiation but the description itself does not state it.

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