leaderboard_entry

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it 'generates' an entry and returns JSON, but it does not disclose whether this is a read-only computation or if it writes to a leaderboard, whether authentication is required, or any side effects. The term 'verifiable' suggests some kind of certification but is not explained. This leaves significant ambiguity about the tool's behavior.

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 relatively concise, consisting of three sentences. It front-loads the primary purpose and then lists the output fields in a structured way. It avoids unnecessary verbosity and is easy to scan. The only minor issue is the vague 'ranking and PK' phrase, but overall structure is good.

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?

The tool is simple (one optional parameter, with an output schema), and the description lists the expected return fields. However, it lacks prerequisites (e.g., does the account need to exist?), error handling, and clarification on whether it writes to storage. Given the ambiguity around behavior and usage, it is not fully complete for an agent to invoke accurately without further information.

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, 'account', with no description (coverage 0%). The tool description does not mention this parameter at all, so it adds no meaning beyond the parameter name itself. Since schema coverage is 0%, the description should compensate but fails to explain what 'account' refers to or how it affects the output. This is a clear gap.

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 purpose: 'Generate a verifiable leaderboard entry for ranking and PK.' It identifies the resource (leaderboard entry) and the action (generate), and lists the output fields. It is not a tautology and conveys a specific function, though it does not explicitly distinguish itself from sibling tools like leaderboard_card or pk_card.

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 does not provide any explicit guidance on when to use this tool versus alternatives. It mentions 'Designed for fair comparison,' which hints at a use case, but it never states exclusions, alternatives, or conditions. An agent would have to infer when this is appropriate, so the guidance is largely absent.

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