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get_trader_profile

Read-onlyIdempotent

Use this when the user needs one trader profile, including metrics and latest positions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNoExchange the trader is onbinance
traderIdYesThe trader ID
timeRangeNoPerformance time range30D
rankingTypeNoRanking snapshot typeROI

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
aumNo
mddNoMaximum drawdown
pnlNo
roiNo
rankNo
sourceNo
winRateNo
avatarUrlNo
positionsNoCurrently tracked positions
timeRangeNo
smartScoreNo
traderNameNo
rankingTypeNo
topTraderIdNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.1/5.0
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, so the safety profile is covered. The description adds useful scope context ('metrics and latest positions') but does not go deeper into behavior around missing traders, exchange-specific behavior, or data freshness, though the output schema likely covers return shape.

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 filler. It immediately tells the agent when to use the tool and what to expect from the result, making it highly efficient.

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 the low tool complexity, rich annotations, fully documented input schema, and presence of an output schema, this description is complete enough. It communicates the tool's singular purpose and primary result contents without needing to restate the structured field details.

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 parameter already has meaningful descriptions, enums, and defaults. The tool description does not add any extra parameter-level semantic value beyond what the schema provides, so the baseline score 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 clearly identifies the resource as 'one trader profile' and states it includes metrics and latest positions. The singular framing distinguishes it from sibling tools like get_top_traders and get_elite_leaderboard, and 'latest positions' helps separate it from get_trader_position_history.

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 explicitly says 'Use this when the user needs one trader profile...', providing a clear trigger condition. However, it does not mention alternatives or when not to use this tool, such as when only positions or historical positions are needed.

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.