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get_top_traders

Read-onlyIdempotent

Use this when the user wants ranked smart-money traders across supported exchanges with sorting and filtering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of traders to return
orderNoSort directionDESC
sortByNoSort metric (defaults to ranking type)
sourceNoExchange to filter byall
timeRangeNoPerformance time range30D
rankingTypeNoRanking snapshot typeROI

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoRanked traders: source, topTraderId, traderName, roi, pnl, winRate, smartScore, rank, rankings[]

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds context about ranking/filtering but does not disclose additional behavioral traits such as pagination, data freshness, or exchange-specific quirks. There is no contradiction with the annotations.

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 that immediately states the use case and primary capabilities. Every word earns its place, with no repetition of the tool name or schema content.

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?

The tool has no required parameters, a rich input schema, strong annotations, and an output schema, so the description does not need to explain return values. The main gap is the lack of explicit differentiation from get_elite_leaderboard, which may be an equally relevant option for similar user requests.

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 description coverage is 100%, and each of the 6 parameters has clear descriptions, enums, and defaults. The description's phrase 'sorting and filtering' broadly maps to parameters like sortBy, order, and source, but it adds no parameter-level detail beyond what the schema already provides.

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

Purpose4/5

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

The description clearly identifies what the tool returns ('ranked smart-money traders across supported exchanges') and highlights its key capabilities ('sorting and filtering'). However, it does not explicitly distinguish itself from the closely related sibling tool get_elite_leaderboard, so it does not fully earn the top score.

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?

The description provides a clear usage trigger: 'Use this when the user wants ranked smart-money traders...' This gives the agent solid context for when to select the tool. It does not mention when not to use it or point to a specific alternative, which would have made it a 5.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools are clearly distinct, targeting different data categories (market data, signals, traders, account). Some potential overlap exists between get_price, get_candles, and get_market_stats, but their descriptions clarify the specific use cases. Overall, an agent can differentiate them reliably.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with the verb 'get' and a descriptive noun (e.g., get_candles, get_signals, get_trader_profile). This uniform naming makes it very predictable for an agent.

Tool Count5/5

With 15 tools, the count is within the ideal range for a domain-specific server. Each tool serves a distinct purpose related to market data, signals, and trader analytics, and none feel redundant or extraneous.

Completeness4/5

The tool set covers core read operations for market data, signals, traders, and account info, which aligns with the apparent purpose of a data-provider server. Minor gaps include lack of write operations (e.g., placing trades) or historical signal details beyond individual IDs, but these are not critical for a data-oriented service.