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

With no annotations, the description carries the full burden. It adds a useful behavioral detail—titles are discarded, and the count is of 'current' front-page stories—but it does not disclose return format, failure modes, or whether network access is required.

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 with no filler; the primary action is front-loaded and the second sentence provides a meaningful clarification. Every word 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?

The tool has nine parameters, no annotations, and no output schema, so the description must explain how invocation works. It does not state which parameters are relevant, what the return value looks like beyond an implied count, or how errors are handled—significant gaps for an agent.

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 parameter descriptions already document each field, giving the baseline score. The tool description itself adds no parameter-level guidance, and the relevance of several parameters (city, json, path) to counting HN stories is left unexplained.

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 uses a specific verb ('Count') and a precise resource ('current Hacker News front-page stories'), and 'Titles discarded' further narrows scope. It is clear and not tautological, though it does not explicitly distinguish itself from sibling tools.

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 described behavior makes it obvious when the tool would be used: whenever a count of current HN front-page stories is needed. However, no explicit conditions, exclusions, or alternative tools are mentioned, leaving the guidance implied rather than stated.

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