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

No annotations are provided, so the description carries the behavioral burden. It does disclose that the tool counts current stories and that titles are discarded, but it does not state the return format, network dependency, or failure behavior.

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 very short and front-loaded, with the main purpose stated first. However, 'Titles discarded' is terse and somewhat cryptic; it could be clearer as 'Returns only the count, not titles.'

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 tool has nine optional parameters and no output schema, but the description does not explain which parameters matter or whether inputs are ignored entirely. An agent is left guessing whether 'feed' is an override and what the response shape looks like.

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 the baseline is 3. The tool description adds no parameter-specific meaning beyond the general counting behavior, and it does not clarify which of the nine optional parameters, if any, are actually relevant.

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 a specific verb ('Count'), a specific resource ('current Hacker News front-page stories'), and the output scope ('Titles discarded'). This is enough for an agent to understand what the tool does and distinguish it from unrelated sibling utilities.

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 'current' qualifier implies the tool is for live front-page counts rather than historical data, but there is no explicit when-to-use guidance or mention of alternatives. The description does not explain when this tool should be preferred over sibling tools because none are directly comparable.

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