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

No annotations are present, so the description must carry the full burden. It discloses that titles are discarded and that it counts current front-page stories, but it does not mention network access, caching, side effects, or the exact return format. For a tool with no annotations, this is minimal disclosure.

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 two short sentences, with the core action front-loaded and no wasted words. It is appropriately sized for the information it conveys.

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 and no output schema, the description is too sparse to fully guide an agent. It does not explain what the parameters do in relation to the count, what the response looks like, or how the tool behaves under different inputs. The description is inadequate for correct invocation despite the schema coverage.

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 description does not explain how the 9 optional parameters relate to the count operation, and the parameters seem unrelated to HN front pages. Since none are required, the description adds no parameter semantics, but the schema already documents each parameter generically.

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 the verb 'count' and the resource 'Hacker News front-page stories'. It also notes 'Titles discarded', which clarifies the tool returns a count without title data, distinguishing it from content-fetching siblings like web-fetch.

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 description provides no guidance on when to use this tool versus alternatives such as web-fetch or fetch-status. It does not mention exclusions, prerequisites, or typical scenarios, leaving the agent to infer usage.

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