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

With no annotations provided, the description carries the full transparency burden. It discloses the pricing ($0.02 via x402) and explains the scoring methodology. It does not mention auth, rate limits, or output format, but for a simple paid data query, the cost and metric are key behavioral details.

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 compact two-sentence structure that front-loads the core purpose and includes the formula and cost. Every word adds value, and there is no fluff.

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?

For a tool with one optional parameter and no output schema, the description covers the essential aspects: what it does, how the metric is calculated, and the cost. It could mention the return format, but the element types are inferable from the purpose.

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 schema has one parameter 'limit' with a default but no description, and schema description coverage is 0%. The description does not explain the parameter at all. The name 'limit' is suggestive, but the description should compensate for the lack of schema documentation, and it does not.

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: 'Twitch categories ranked by hype score' with a specific formula and metric. It distinguishes from Steam-focused sibling tools by explicitly focusing on Twitch categories.

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 a clear use case ('leading indicator of trending games'), implying when to use this tool. However, it does not explicitly name alternatives or state when not to use it compared to the Steam-focused siblings.

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