huggingface_trending

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

Annotations already declare readOnlyHint=true, so the agent knows it's safe. The description adds valuable behavioral nuance: the days parameter filters by lastModified, not publication date, which could cause unexpected results. This goes beyond annotations by explaining a potential pitfall, though it doesn't detail all aspects like pagination or result structure.

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—three sentences with no redundancy. It front-loads the primary purpose, then provides parameter details, and ends with a caution and alternative. Every sentence earns its place, making it easy for an agent to parse quickly.

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 (ResponseFormat enum) but the description does not mention return values or structure. Additionally, four parameters are left unexplained. For a 7-parameter tool with 0% schema coverage, the description should provide more context to be fully self-contained, though the core browsing functionality is adequately covered.

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 input schema has 0% description coverage (no parameter descriptions), so the description must compensate. It explains kind, sort, and days with valid values and nuances, but ignores query, tag, max_results, and response_format. While parameter names are somewhat self-explanatory, the description should cover all seven to fully compensate for missing schema details.

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 'Browse Hugging Face Hub' as the purpose, specifying the resource (Hugging Face Hub) and the action (browse). It differentiates from sibling tools like github_trending by explicitly naming Hugging Face and detailing the kind, sort, and days parameters that define the tool's scope.

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 provides explicit guidance on when to use different parameters: kind defaults to models, sort offers trending/downloads/likes/recent, and days filters by lastModified with a caution about catching old entries. It even suggests an alternative approach for 'truly new' discovery using sort='recent' + days=N, which helps agents choose correctly.

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