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

No annotations are provided, so the description carries the burden. It discloses one meaningful behavioral trait—titles are not returned—and implies a live fetch of the current front page. It does not state the return format, network dependency, or any rate-limit/caching behavior, so transparency is only partial.

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?

Two short sentences contain the essential action and a useful limitation with no filler. The description is front-loaded and appropriately sized for a simple count tool.

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 is understandable for a no-argument count operation, but with no annotations and no output schema it leaves the return shape and invocation assumptions implicit. The unrelated optional parameters in the schema create potential confusion that the description does not fully resolve.

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?

Schema description coverage is 100%, so every parameter is already documented and the baseline is 3. The description adds no parameter guidance, and the nine optional parameters look unrelated to the HN-count purpose; still, the schema itself is individually descriptive.

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 identifies a specific action and resource: counting current Hacker News front-page stories. The note 'Titles discarded' also sets expectations, but it does not explicitly differentiate from sibling tools such as web-fetch or wiki-title-ok.

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 implies the tool should be used when a count of Hacker News front-page stories is needed, and 'Titles discarded' warns that it is not for retrieving story titles. However, it names no alternatives and gives no explicit when-to-use or when-not-to-use guidance.

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