get_news_by_date

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

With no annotations provided, the description fully covers behavioral traits: default date, platform configuration, limit behavior (actual may be less), URL inclusion, and display expectations. No contradictions.

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 verbose, especially the data display advice section which is lengthy and somewhat repetitive. While structured with sections and bullet points, it 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?

The description covers all 4 parameters, provides return format info, and includes practical usage context (e.g., how platforms are sourced, what to do with results). Given the presence of an output schema (not shown), the description is complete.

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 coverage is 0%, so the description compensates comprehensively. It explains date_query with natural language and standard formats, platforms with examples and config reference, limit with default and max, and include_url with default. Adds significant meaning beyond 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?

The description clearly states '获取指定日期的新闻数据，用于历史数据分析和对比', specifying the verb (get), resource (news data), and scope (by date, for historical analysis). This distinguishes it from siblings like get_latest_news and search_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?

The description provides explicit guidance on when to use this tool (historical data) and extensive advice on data display: when to show full data, when to summarize, and how to respond to user expectations. This helps the agent make appropriate decisions.

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