Huggingface Search

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

With no annotations available, the description carries the burden and usefully discloses that `query` matches name/ID substrings rather than full text — a non-obvious behavior that prevents wasted calls. It does not mention rate limits, ordering, or how many results are returned (output schema covers the latter).

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?

Front-loaded with the core action, then dense per-parameter clarifications with concrete example values. No filler sentences, though the parenthetical examples in the `pipeline` clause are slightly sprawling.

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?

An output schema exists, so return values need not be described, and the main filtering params are well covered. However, with no annotations and no enum constraints in the schema, the description should state accepted `kind` values as a closed set and explain `num_results` to be fully self-sufficient.

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%, so the description must compensate: it explains `kind` (model/dataset), `query` (substring on name/ID), and `pipeline` (task tag with example values per kind), which is strong added meaning. `num_results` is left entirely undocumented, leaving one of four params unexplained.

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?

States a specific verb and resource ("Search HuggingFace") and immediately narrows scope by distinguishing model vs dataset search. The resource is distinctive enough against siblings like arxiv_search, github_search, and web_search, though it never explicitly contrasts itself with them.

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?

Usage is only implied by the parameter explanations — an agent can infer this is for finding HF models/datasets by name or task tag. There is no explicit when-to-use, when-not-to-use, or guidance on preferring a sibling tool (e.g. web_search for full-text discovery).

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