sleeper: Get trending players

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

Annotations already indicate read-only, open-world, and idempotent behavior. The description adds valuable behavioral context: results are enriched with player names/teams/positions and the data serves as a 'crude buzz signal', which goes beyond the annotations without contradicting them.

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 sentences, front-loaded with the core purpose and followed by a supplementary note. Every word adds value; there is no redundancy or filler.

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?

Given the lack of an output schema, the description adequately hints at the response structure (enriched with names/teams/positions). It covers the two types and the lookback window. However, it could be more explicit about whether counts are included, but overall it provides sufficient context for a simple read-only tool.

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 coverage is 100%, so the baseline is 3. The description does not add extra meaning beyond the schema; it mirrors the 'add/drop' type and 'lookback window' concept. No additional parameter details are provided, so no uplift above baseline.

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 identifies the tool's function: retrieving most-added or most-dropped NFL players. It uses a specific verb ('Get') and resource ('trending players'), and the mention of enrichment with names/teams/positions distinguishes it from sibling tools like sleeper_search_players.

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 trending player data but provides no explicit guidance on when to prefer this tool over alternatives such as sleeper_search_players or other data sources. The phrase 'crude buzz signal' offers some context but lacks clear when-not or alternative tool recommendations.

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