read_articles_batch

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: rate limiting (5-second intervals between articles), error handling (single failures don't affect others), execution time (25-30 seconds for 5 articles), and constraints (max 5 articles, excess skipped). It doesn't mention authentication needs or data retention policies, but covers most operational aspects well.

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 well-structured and appropriately sized. It uses clear sections (description, typical workflow, args, returns, examples, notes) with bullet points for readability. Every sentence adds value: the opening defines purpose and constraints, the workflow provides context, parameter explanations are clear, and notes cover important behavioral details. No wasted text.

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 complexity (batch operations with rate limiting), no annotations, and the presence of an output schema (which handles return values), the description is remarkably complete. It covers purpose, workflow integration, parameters, constraints, timing, error handling, and provides examples. The output schema existence means the description doesn't need to detail return format, allowing focus on operational context.

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 must compensate for the lack of parameter documentation in the schema. It provides good semantic context for both parameters: 'urls' is described as a required list of article links with a 5-item maximum, and 'timeout' is explained as the request timeout per article with a default of 30 seconds. The description adds meaningful context 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: '批量读取多篇文章内容' (batch read multiple article contents) with specific constraints (max 5 articles, 5-second intervals). It explicitly distinguishes from sibling tools like 'read_article' (singular) and 'search_news' (searching vs. reading content). The description provides a specific verb ('读取' - read) and resource ('文章内容' - article content) with clear scope limitations.

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 usage guidelines in the '典型使用流程' (typical usage flow) section, detailing a three-step process: 1) use search_news to get URLs, 2) use this tool to batch read, 3) AI analysis. It clearly positions this tool as part of a workflow with specific prerequisites and distinguishes it from alternatives like 'read_article' for single articles.

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