huggingface_trending

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

Annotations already indicate readOnlyHint=true. The description adds valuable behavioral context: days filters by lastModified and catches old entries with recent edits, and suggests alternative for truly new discovery. No contradictions with annotations.

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 extremely concise with two sentences and a caution. Every sentence adds value, and key information is front-loaded. No superfluous content.

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 7 parameters with no schema descriptions, the description is incomplete. It omits explanations for query, tag, max_results, and response_format. Although annotations and output schema exist, the description should cover more parameter semantics to be fully helpful.

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 adequately explains kind, sort, and days (including a caution), but fails to describe query, tag, max_results, and response_format. Coverage is about 43% of 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 browses the Hugging Face Hub, specifying the resource and the three kinds (models, datasets, spaces). It differentiates from sibling tools which are for other sources like arXiv or GitHub.

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 explains when to use different sort options and provides a caution about the days parameter, including an alternative approach for finding new items. However, it does not explicitly compare to sibling tools or state when not to use this tool.

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