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Multi-Agent Market Debate

multi_agent_analysis
Read-only

Run a multi-agent debate (Technical, Sentiment, Risk) for a specific symbol.

Args:
    symbol: Symbol — crypto: "BTCUSDT"; stocks: "COMI" (EGX), "THYAO" (BIST), "600519" (SSE), "300251" (SZSE), "2330" (TWSE), "3105" (TPEX), "GDX" (AMEX)
    exchange: Exchange — crypto: KUCOIN, BINANCE, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, AMEX, NYSEARCA, PCX, SSE, SZSE, TWSE, TPEX, EPA (Euronext Paris), AMS, BRU, LIS, MIL, LSE, SIX, BME, XETRA, FWB, TSX, TSXV, NSE, BSE (India), IDX (Indonesia)
    timeframe: Time interval (5m, 15m, 1h, 4h, 1D, 1W)

Returns:
    A structured debate between 3 AI agents culminating in a final trading decision.

Input Schema

NameRequiredDescriptionDefault
symbolYes
exchangeNoKUCOIN
timeframeNo15m

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavior context by naming the three agent roles and summarizing the output as a debate culminating in a trading decision. It does not disclose latency, cost, or whether the run is synchronous, which matters for a multi-agent call.

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?

Front-loads the purpose in one sentence, then structured Args/Returns blocks. The argument lists are dense but each entry is genuinely useful given the zero schema coverage, so little is wasted.

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?

No output schema exists, and the description partially compensates by describing the return as a structured 3-agent debate ending in a trading decision. Combined with the annotation safety profile and thorough parameter documentation, an agent has what it needs, though runtime expectations are unstated.

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

Parameters5/5

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

Schema description coverage is 0%, so the description must carry the full parameter burden and it does: it gives per-exchange symbol examples (BTCUSDT, COMI, THYAO, 600519), enumerates valid exchanges across crypto and equities, and lists valid timeframe intervals. This is far more than the bare schema 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?

States a specific verb and resource: 'Run a multi-agent debate (Technical, Sentiment, Risk) for a specific symbol.' The agent composition and target (a symbol) make the operation concrete. It does not name or differentiate from siblings such as combined_analysis or market_sentiment, which keeps it 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?

There is no statement of when to prefer this debate tool over the many overlapping siblings (combined_analysis, multi_timeframe_analysis, market_sentiment). No prerequisites, exclusions, or cost/latency context that would help an agent choose between them.

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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