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get_arena_leaderboard

Get the current Agent Arena weekly leaderboard with calibration-based scoring. View top predictors ranked by composite score across calibration, ROI, volume, and consistency.

Instructions

Get the current Agent Arena weekly leaderboard with calibration-based scoring. Shows top predictors ranked by composite score (calibration 40%, ROI 30%, volume 15%, consistency 15%).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of entries to return (default 50, max 100)
paperNoIf true, show paper trading leaderboard instead of real bets
Behavior3/5

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

With no annotations, the description carries the burden. It discloses the ranking basis (calibration 40%, ROI 30%, volume 15%, consistency 15%) and that it is current/weekly, but omits details like authentication, rate limits, or return structure. For a read-only getter, this is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences convey the tool's core purpose and scoring details without fluff. Highly compact.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple read tool with full parameter coverage and no output schema, the description is complete enough. It explains what the leaderboard is, the scoring weights, and the temporal scope.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers 100% of parameters (limit and paper) with descriptions. The tool description adds no additional parameter semantics, so the baseline of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Get') and resource ('Agent Arena weekly leaderboard'), clearly distinguishing its function. It also explains the composite score formula, adding precision.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It provides clear context that this tool retrieves the leaderboard, but does not explicitly discuss when to use it instead of alternatives or exclusions. No conflicting sibling tools exist, so the context suffices.

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

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