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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false and destructiveHint=true, and the description adds nothing behavioral on top of them. It says nothing about caching (the schema exposes no_cache), output format, auth needs, or why a news query carries a destructive hint. Silence is not contradiction, but the description contributes no behavioral value.

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?

It is a single sentence with no filler, but it is somewhat run-on and redundant ('查询新闻搜索结果' restated as '获取新闻内容'). It is adequately compact but not tight or well 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?

For a nine-parameter tool with no output schema, the description is thin: it should at least sketch what news content is returned (fields, structure, pagination via first/count). The schema itself is fully documented, so the core calling mechanics are covered, but the description leaves the return contract unexplained.

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 100%, so the schema already documents all nine parameters thoroughly. The description loosely echoes the categories (keyword, region, language, date sort, safe filter) that map to q, cc, mkt, qft and safeSearch but adds no syntax, format, or default information beyond the schema, which is the baseline 3.

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 names a specific verb (查询/query) and resource (Bing News 新闻搜索结果), and lists the dimensions it covers (keyword, region, language, date sorting, safe filtering). This is clear enough that the agent knows it is a Bing news search, but it offers no differentiation from siblings like bing_search or google_news.

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?

It is framed as a trigger clause (当用户需要...时触发), which supplies context for when to use it, but there are no when-not conditions and no named alternatives. The 'when' is essentially 'when you need news,' which is redundant with the tool name and does not route between competing news/search siblings.

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