search_huggingface

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

Discloses use of HF Hub API, free and no key required, and describes return structure with error field. Lacks details on rate limits or pagination, but adequate for a search tool with no 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?

Description is compact with clear sections (purpose, usage, args, returns), but uses some unnecessary repetition (e.g., 'Поиск моделей на Hugging Face' could be more concise).

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 no output schema and no annotations, description covers purpose, API source, use cases, parameters, and return format adequately. Could mention pagination, but overall complete for a simple search tool.

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?

With 0% schema description coverage, description compensates by explaining query as search query and max_results as maximum results (1-100), but lacks deeper details like query format or default value (though schema shows default 10).

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?

Description clearly states 'Поиск моделей на Hugging Face' (search models on Hugging Face), uses specific verb+resource, and distinguishes from sibling tools like search_huggingface_datasets.

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?

Mentions suitability for searching AI models, monitoring releases, analyzing trends, but does not explicitly state when not to use or alternative tools among many siblings.

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