get_latest_news

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

Describes return format (JSON), default limit, max limit, actual count may be less, and token-saving option (include_url). No annotations exist, so the description carries the burden; it covers key behavioral traits well. Missing explicit idempotency or side-effect statements but still strong.

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?

Purpose stated upfront; parameter descriptions are clear. The long display-suggestions section adds value for the agent but could be more concise. Overall well-structured and front-loaded.

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?

Covers parameters, defaults, and usage advice. With an output schema present, the missing return-value description is mitigated. Lacks error handling and sorting details but sufficient for a simple read 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, the description fully compensates: explains platforms as list with defaults from config, gives examples (['zhihu', 'weibo', 'douyin']), clarifies limit behavior (max 1000, actual may be less), and explains include_url's purpose. Adds significant value beyond the schema.

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?

Clearly states the tool gets the latest batch of crawled news ("获取最新一批爬取的新闻数据") and implies it's for current hot topics. However, it doesn't explicitly differentiate from siblings like get_news_by_date or get_trending_topics, which could cause confusion.

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?

No guidance on when to use this tool vs. alternatives. Lacks explicit context like 'Use this for unfiltered latest news; for date-filtered news, use get_news_by_date', leaving the agent to infer usage from the name alone.

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