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get_best_operator

Read-only

Identify top AI power-users by their token cascade efficiency, interpreting yield, leverage, and velocity in plain-language behavioral framing.

Instructions

Returns the top N operators on the SigRank leaderboard with behavioral framing in power-user language. Wraps get_leaderboard and adds plain-language interpretation of each top operator's cascade: what their yield, leverage, and velocity mean in terms of AI power-user behavior (cache reuse, input economy, output productivity). Use this when users ask 'who is the best AI user?' or 'who tops the SigRank leaderboard?' or 'show me the AI user leaderboard'. Do NOT use get_leaderboard if you want the raw array without interpretation — use this for the power-user framing. Intent: BEST_OPERATOR.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNoNumber of top operators to return (default: 5, max: 20). Returns the top N by yield.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
summaryNoOne-line summary of the top operator's achievement in behavioral terms
top_operatorsNoTop N operators ranked by yield
total_operatorsNoTotal operators on the board
Behavior4/5

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

Annotations provide readOnlyHint=true, so description adds value by explaining it wraps get_leaderboard and adds interpretation of yield, leverage, velocity. No contradictions.

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?

Three focused sentences front-loading purpose and usage. No wasted words.

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

Completeness5/5

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

Given output schema exists, description adequately covers behavioral framing, use cases, and comparison to sibling tool. Complete for a tool that wraps another.

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?

Schema coverage is 100% and description reinforces the 'n' parameter's purpose and default/max. Adds context about returning top N by yield.

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?

Description clearly states it returns top N operators on SigRank leaderboard with behavioral framing. Distinguishes from sibling get_leaderboard by specifying it adds plain-language interpretation.

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

Usage Guidelines5/5

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

Explicitly provides example user queries and tells when to use this tool versus get_leaderboard ('Do NOT use get_leaderboard... use this for the power-user framing').

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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