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List rankings

list_rankings

List available AI model ranking leaderboards, including composite IQ, effective cost, per-dimension, and per-benchmark. Returns IDs and names for each ranking.

Instructions

Available leaderboards: composite IQ, effective cost, per-dimension, and per-benchmark. Returns ids + names only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description partially covers behavioral traits by stating it returns ids and names only, but lacks details on idempotency or side effects. For a simple list operation, this is minimally adequate.

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?

The description is a single, front-loaded sentence with no unnecessary words, effectively communicating the tool's purpose and output.

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?

Given no parameters, no output schema, and a simple list functionality, the description is nearly complete. It covers what is listed and the return format, though it could mention whether it is read-only or if there are any limitations.

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

Parameters4/5

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

There are no parameters, so the description need not add parameter semantics. Baseline score of 4 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 specifies the tool lists available leaderboards with specific types (composite IQ, effective cost, per-dimension, per-benchmark) and that it returns ids and names only, clearly distinguishing it from siblings like get_ranking or list_benchmarks.

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

Usage Guidelines3/5

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

The description implies usage when one needs to see available leaderboard types but does not explicitly state when to use this tool versus alternatives like get_ranking or list_benchmarks, nor does it provide exclusions or prerequisites.

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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