read_articles_batch

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

With no annotations, the description fully discloses key behavioral traits: automatic 5-second intervals to respect rate limits, a hard cap of 5 articles (excess skipped), per-article timeout with default, failure isolation ('single failure doesn't affect others'), and an approximate total time (25-30 seconds for 5 articles). This is exceptional transparency beyond the schema.

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 clear sections (typical flow, args, returns, example, notes). Every sentence earns its place—no filler, yet it manages to convey limits, time estimates, and failure semantics in a compact format.

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 (batching, rate limiting, error handling), the description is complete: it covers use case, input parameters, return format, time expectations, and edge behavior (skip over 5, partial failures). The presence of an output schema is confirmed, and the description appropriately summarizes the return without needing to list fields.

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 only provides types and a default; the description compensates fully by explaining urls as a required list of article links (max 5) and timeout as per-request seconds (default 30). It also includes a concrete example. This adds substantial meaning beyond the bare 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 function: batch reading multiple articles (max 5) with a 5-second interval. It distinguishes itself from the singular 'read_article' sibling by emphasizing the batch nature and the rate-limit spacing, making the scope and resource unambiguous.

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 provides a typical usage flow with explicit steps: first search_news, then read_articles_batch, for multi-article comparison or synthesis. This gives clear context and expected prerequisites. However, it does not explicitly contrast with 'read_article' for single-article cases or state when-not-to-use, so it stops short of full alternative differentiation.

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