article_statistics

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

No annotations are provided, so the description carries full burden. It only states what is returned and the time intervals, but does not disclose details such as which RSS feeds are included, whether statistics are aggregated or per-feed, or any limitations. This is minimal behavioral 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 a single, focused sentence that front-loads the key function ('Returns statistics') and then specifies the time intervals. It is concise with no wasted words.

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?

While the tool is simple (no parameters, no output schema), the description is somewhat vague about 'various RSS feeds' and does not clarify what the statistics look like (e.g., counts per feed, totals, or a breakdown). It provides enough for basic comprehension but leaves gaps for an AI agent to know exactly what to expect.

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 tool has zero parameters, and the schema is empty, so the baseline is 4. The description adds no parameter information, which is acceptable given none exist.

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 tool's function: returns statistics on article counts over specific time intervals (1, 4, 8, 12, 24 hours) from RSS feeds. This uses a specific verb and resource, and distinguishes it from sibling tools that return article content or lists.

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 usage for aggregate counts over time but does not explicitly state when to use this tool versus alternatives like latest_news or crypto_articles. No exclusions or alternative tool names are mentioned.

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