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 disclosing behavior. It clearly states that requests are made sequentially with automatic 5-second delays to respect rate limits, handles up to 5 articles, has a per-request timeout, and isolates failures so one failure doesn't affect others. It also mentions the expected time cost (25-30 seconds for 5 articles), making behavior highly transparent.

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 clear summary, explanation, typical usage flow, args, returns, and notes. It is front-loaded with the primary purpose and contains no redundant information. Every sentence adds value, such as the note about skipping extras and the total time, making it concise and efficient.

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 provides comprehensive context: it explains the batch reading mechanism, the rate-limiting rationale, the usage flow with a preceding tool, parameter details, return format (JSON with contents and status), and important edge cases (max articles, timeout, failure isolation). This covers all necessary information for an agent to use the tool correctly without further clarification.

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 schema has no descriptions, but the description explains both parameters thoroughly: 'urls' is clarified as a required list of article links with a maximum of 5, and 'timeout' is described as per-request timeout in seconds with a default of 30. This adds essential meaning beyond the bare schema, fully covering the parameter semantics.

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 explicitly states the tool reads multiple article contents in batch, specifying a maximum of 5 articles and an interval of 5 seconds. It clearly distinguishes itself from the single-article 'read_article' tool by using the term '批量' (batch) and outlining the batch behavior.

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 typical usage flow, starting with search_news to obtain URLs and then using read_articles_batch, which gives practical context. However, it does not explicitly compare with the alternative 'read_article' for single articles, nor does it state when to prefer one over the other, so it falls slightly short of full explicitness.

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