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

No annotations are supplied, so the description carries the full disclosure burden; it does add one genuinely useful rule — that only the best attempt per puzzle counts toward points — which explains how the numbers are computed. It does not say whether results are ranked, paginated, or scoped to a caller's team, and safety profile is left implicit for a zero-parameter read.

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?

One compact sentence with no filler, and the scoring rule is appended inline where it is relevant. The phrasing ('planet hunting and HLA together') is slightly telegraphic, but nothing should be cut.

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?

With no output schema and no annotations, the description is the only source of truth, and it does not indicate the return shape (team names, ranks, point totals) or ordering. It covers what is counted but not what comes back, which is a meaningful gap for a leaderboard 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?

The tool takes no parameters, so there is nothing for the description to disambiguate; baseline 4 applies. Schema coverage is 100% on an empty object, and no input details are missing.

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 names the resource (team points for the open science season) and its scope (planet hunting and HLA combined), which tells an agent what data it returns. However, it never states the action explicitly (retrieve/list a leaderboard) and does not distinguish itself from siblings like arena_leaderboard or science_team, leaving differentiation to inference.

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?

There is no when-to-use guidance, no prerequisite conditions, and no mention of alternatives such as science_team (team info) or arena_leaderboard (a different leaderboard). The agent must guess which of the several leaderboard/team tools applies.

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