get_recent_news

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

With no annotations provided, the description carries the full burden and does useful work by disclosing that entries include the full article body rather than just titles, which is a non-obvious payload trait. It also states the maximum item count. It does not mention authentication, rate limits, or failure behavior, leaving some behavioral gaps.

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 two tight sentences with the primary purpose stated first. The second sentence adds a genuinely useful caveat about full article bodies, so every sentence earns its place.

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?

An output schema exists, so the description does not need to explain return structure in detail. It covers the source, item limit, and an important content characteristic, which is sufficient for a zero-parameter fetch tool.

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 tool takes zero parameters, so parameter semantics are not a meaningful concern and the baseline is 4. The description correctly avoids inventing parameter details that do not exist.

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 uses a specific verb and resource ("Fetches the latest headlines from the hololive English news page") and adds a concrete scope limit ("up to 10 items"). It is immediately distinguishable from the talent-related sibling tools, which operate on completely different resources.

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 clearly implies the tool's usage context: retrieving current news from a specific page. There are no sibling alternatives that compete with this function, so explicit when-not guidance is less necessary. However, it does not state exclusions or edge conditions, so it stops short of the top score.

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