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

No annotations are provided, so the description carries the full burden. It does not disclose behavioral traits like whether the leaderboard is cached, real-time, or requires authentication. It only states the output content without behavioral context.

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 short sentence that conveys the core purpose without fluff. It is front-loaded and concise, though it could be slightly improved by starting with a verb.

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 tool has no parameters or output schema, the description is minimal but adequate for a simple leaderboard retrieval. However, it lacks context on time period (e.g., all-time vs. recent) or update frequency, leaving some ambiguity.

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 input schema has no parameters, and the description adds meaning by specifying the result set (top 25 participants by credits and tasks). With zero parameters, the baseline is 4, and the description fulfills that.

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 returns the top 25 participants by credits and tasks completed, aligning with the tool name. It differentiates from sibling tools like get_reputation_leaderboard by specifying the metrics used, though it could be more explicit about the verb (e.g., 'retrieves').

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 no guidance on when to use this tool versus alternatives such as get_reputation_leaderboard or get_follow_counts. There are no when-to-use or when-not-to-use indications.

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