get_latest_news

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

With no annotations provided, the description carries full burden and adds valuable behavioral context: it specifies default values (limit default 50, max 1000), token-saving behavior with include_url default, and data display recommendations. It does not mention rate limits, authentication needs, or destructive effects, but provides practical usage guidance.

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 appropriately sized and well-structured: it starts with the core purpose, then details parameters in a clear Args/Returns format, and adds practical usage notes. Every sentence earns its place with no redundancy or fluff.

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's moderate complexity (3 parameters, no annotations, but has output schema), the description is complete: it covers purpose, all parameters with semantics and defaults, return format, and even adds data display recommendations. The output schema existence means it needn't explain return values in detail.

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 schema description coverage is 0%, so the description must compensate fully. It does so excellently: it explains all three parameters with clear semantics (platforms as ID lists with examples, limit with default and max, include_url with default and purpose), going well beyond what the bare schema provides.

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's purpose with specific verbs ('获取最新一批爬取的新闻数据') and resource ('新闻数据'), distinguishing it from siblings like 'get_news_by_date' (date-based) or 'search_news' (search-based). It explicitly mentions '快速了解当前热点' which highlights its use case for current trends.

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 clear context for when to use this tool ('获取最新一批爬取的新闻数据，快速了解当前热点'), but does not explicitly mention when not to use it or name specific alternatives among the many siblings. It implies usage for recent news without filtering, but lacks explicit exclusions.

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