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

With no annotations provided, the description carries the behavioral burden. It usefully discloses that phrase hints are coarse and that the HOST is expected to do semantic clustering, and it states the return includes raw comments. However, it omits practical constraints such as rate limits, default time ranges, sorting, or any limitations on which HN comments are included.

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 compact sentences with no filler: the first states the core function and output, and the second delivers an important caveat about phrase quality. The description is front-loaded and 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?

With an output schema present and 5 of 6 parameters either described or self-explanatory, the minimal information needed to call the tool is available. However, the description does not clarify what distinguishes 'painpoints' from related HN analysis tools, nor does it explain default filtering or how results are ordered. It is usable but not comprehensively specified.

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 67%, covering topic, limit, ask_kind, and min_depth, while since/until are self-explanatory by name. The description itself adds no parameter-level detail, but the schema already carries most of the semantic weight, so this is adequate but not enhanced.

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 names a specific action ('Mine') and resource ('HN comments mentioning a topic') and states the outputs ('phrases + raw comments'). It is clear enough to distinguish the tool's core function, though it does not explicitly contrast it with close siblings like hn_ideas or hn_search.

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?

There is no guidance on when to use this tool versus alternatives such as hn_search, hn_ideas, or hn_attitude. The only usage note instructs the HOST to cluster raw_comments semantically, which is post-hoc output handling rather than tool-selection guidance.

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