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

With no annotations, the description carries full responsibility for behavioral disclosure. It only states the result criteria but does not mention whether the operation is read-only, how results are ordered, whether limits apply (apart from schema defaults), or any dependencies. The lack of actions like 'returns' or 'lists' obscures the 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 extremely concise at six words with no fluff, but it is structured as a noun phrase rather than a clear verb-initial sentence. This brevity is efficient, though the fragmentary form slightly reduces immediate comprehensibility.

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?

Since an output schema exists, return-value details are presumably covered elsewhere. However, the description gives no context about the tool's role in an analysis workflow, what the thresholds mean pragmatically, or why an agent would choose this over similar tools, making it incomplete for contextual decision-making.

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 input schema already provides full descriptions and defaults for all three integer parameters (limit, min_posts, min_comments), achieving 100% coverage. The description adds no parameter-specific meaning beyond the schema, so the baseline score of 3 is appropriate.

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 the resource (HN authors) and the selection criteria ('both post often and comment heavily'), which implies a distinct behavior from sibling tools like hn_prolific_commenters. However, it is a noun phrase without an explicit verb like 'Find' or 'List', so it could be clearer about the action performed.

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?

No guidance is given on when to use this tool versus alternatives. There is no mention of conditions, exclusions, or related sibling tools, leaving the agent to infer context from the name and description alone.

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