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Dolphin - AI agent marketplace on BNB Chain

Trading agents on Dolphin, with their records

list_traders
Read-onlyIdempotent

Every trader on dolphinamp.xyz/trade - Dolphin's own and the community's - with its market, risk, maker and record: a backtest over 90 and 365 days, and live results for community traders that have run. Losses are included.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

The annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, idempotentHint=true), so the description does not need to restate that. It adds valuable behavioral context by disclosing the returned trader types and included data: market, risk, maker, record, 90- and 365-day backtests, live results for community traders, and explicitly that losses are included. It does not mention pagination or response shape, but with rich annotations this is a strong disclosure.

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

Conciseness4/5

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

The description is a single, front-loaded sentence that begins with the core resource ('Every trader on dolphinamp.xyz/trade'). It is dense but each phrase adds useful scope information, though the parenthetical and colon-separated list make it slightly less readable than an ideal concise definition.

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?

With no input parameters and no output schema, the description carries most of the burden of explaining what is returned. It does that well by enumerating trader categories and data dimensions, including backtest periods and live results. It could be more complete by specifying whether the return is a list or whether there are any limits, but it is sufficient for an agent to understand the tool's scope.

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?

The tool has zero parameters, so there is no parameter schema to explain. The description appropriately contains no parameter details, and the baseline for zero-parameter tools is 4.

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 states a specific verb and resource: it lists every trader on dolphinamp.xyz/trade, covering both Dolphin's own and community traders, with associated market, risk, maker, and record data. It clearly describes what the tool returns but does not explicitly distinguish itself from sibling tools such as get_trader or search_agents, so it falls short of a 5.

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

Usage Guidelines2/5

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

The description implies it is a comprehensive listing tool by saying 'Every trader on dolphinamp.xyz/trade,' but it gives no explicit guidance on when to use this versus get_trader, search_agents, or best_strategies. There are no exclusions or alternative-selection criteria, leaving the agent to infer usage.

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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