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

No annotations are present, so the description carries the full burden of behavioral disclosure. It does disclose the main read-only behavior (counting) and a non-obvious trait (titles are discarded), which is useful. However, it does not explain how the count is obtained, what the return format is, or whether any network fetch or side effect occurs.

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 extremely concise: two short sentences with the primary action front-loaded. 'Titles discarded' is a relevant behavioral note rather than filler. It is easy to scan and contains no unnecessary words.

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?

With 9 optional parameters, no required fields, no output schema, and no annotations, the description should specify which parameter to use and what the return value looks like. It does neither; an agent must guess whether to call with no arguments or pass the HN feed URL. The generic schema descriptions do not establish a clear invocation contract.

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?

All 9 parameters are already described in the input schema, and schema description coverage is 100%, so the baseline applies. The description adds no parameter-specific meaning and does not indicate which optional parameter, if any, is relevant to hn-front-count. The 'feed' parameter seems related via 'titles discarded', but this connection is left to inference.

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 opens with a specific verb ('Count') and a precise resource ('current Hacker News front-page stories'), making the core purpose unambiguous. 'Titles discarded' clarifies a key limitation and helps differentiate it from content-returning tools like web-fetch. No sibling tool has this exact purpose.

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 intended use—obtaining a count of current HN front-page stories—is implied by the first sentence. However, the description does not explicitly state when to use this tool versus alternatives, nor does it name any sibling tool. 'Titles discarded' only indirectly signals that it is not the tool to use when titles are needed.

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