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

With no annotations, the description carries the full behavioral burden. It discloses that titles are discarded and that the data is current, which is useful. However, it does not mention the return format, network behavior, error handling, or whether any input parameters affect the count.

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 no filler. The primary action is front-loaded, and the behavioral note about discarded titles is separate and clear. 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 description is minimally adequate for a simple count operation, but with nine optional parameters and no output schema, key gaps remain. It does not explain what the parameters are for, whether any are required, or what the tool returns. The agent must infer too much for full confidence.

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 applies. The tool description adds no additional meaning about any of the nine optional parameters, leaving the agent to rely entirely on the schema for parameter semantics. This is acceptable 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 uses a specific verb ('Count') and resource ('current Hacker News front-page stories'), making the tool's function immediately clear. 'Titles discarded' further clarifies scope by stating what is not returned. This differentiates it from sibling tools like web-fetch or wiki-title-ok without ambiguity.

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 implies the tool should be used when an agent needs the current count of Hacker News front-page stories, and 'titles discarded' implies it is not for extracting titles. However, it does not explicitly mention alternatives, prerequisites, or situations where another tool would be preferred.

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