get_trending_players

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

Annotations already declare read-only, non-destructive behavior. The description adds valuable context by clarifying that the values are popularity/trend data rather than projections, which reduces the risk of misuse. It does not mention rate limits or auth, but these are less critical for this simple read operation.

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 main action and resource are front-loaded, and the important caveat about projections is concise and purposeful.

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 read-only tool with optional parameters and helpful schema titles/defaults, this description is nearly sufficient for invoking the tool correctly. However, there is no output schema and the description only mentions 'player names,' leaving the broader response shape and the practical effect of `lookback_hours` and `limit` to inference.

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 0%, so the description needed to compensate. It only echoes the 'add/drop' concept behind the `kind` parameter and provides no explanation of `limit` or `lookback_hours`. The schema titles and defaults help, but the description itself contributes little parameter-level meaning.

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 ('Read') and names the resource ('Sleeper add/drop trends') plus the key content ('player names'). The caveat that popularity is not a projection helps separate it from projection-related siblings, though it does not explicitly name an alternative.

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 for add/drop popularity trends and warns against treating it as projections. However, it does not explicitly state when to choose this over siblings like get_week_projections or search_players, nor does it provide a clear exclusion list.

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