read_articles_batch

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

With no annotations provided, the description fully carries the burden. It discloses the rate-limiting behavior (5-second interval), the maximum limit (5 articles, excess skipped), the per-request timeout (default 30 seconds), the approximate duration for 5 articles, and the failure isolation. This is rich behavioral transparency.

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 with a front-loaded headline, clear sections for usage flow, arguments, returns, examples, and notes. Every sentence adds value, and it is concise for the amount of information conveyed.

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 the necessary context: prerequisite tools (search_news), usage example, return format (JSON with content and status), limits (max 5, skipped excess), timing (25-30 seconds), and error handling (single failure isolation). It is complete for a tool with this complexity.

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 input schema has 0% description coverage, but the description compensates fully: it explains 'urls' as a required list of article links (max 5) and 'timeout' as per-request timeout in seconds with default 30. It also adds the 5-second interval context, which is not in 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?

The description clearly states the tool's purpose with a specific verb and resource: '批量读取多篇文章内容' (batch read multiple article contents). It also specifies the scope (max 5 articles) and interval (5 seconds), which distinguishes it from the singular 'read_article' sibling.

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 a clear typical usage flow: first search_news, then read_articles_batch, then AI analysis. It implies that this tool is for multiple articles, but it does not explicitly state when to use the singular 'read_article' instead. This is a clear context with no exclusions, so a 4 is appropriate.

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