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Full Technical Analysis

coin_analysis
Read-only

Get detailed analysis for a specific asset (coin or stock) on specified exchange and timeframe.

This is the canonical single-symbol technical readout (there is no
"get_technical_analysis" or "get_technical_summary" tool — use THIS one).
Use `multi_timeframe_analysis` instead when you need trend alignment
across several timeframes, and `combined_analysis` when you also want
news sentiment + headlines in the same call.

Example: coin_analysis(symbol="BTCUSDT", exchange="BINANCE", timeframe="1h")

Args:
    symbol: Bare ticker, no exchange prefix — crypto: "BTCUSDT", "ETHUSDT"; stocks: "COMI" (EGX), "THYAO" (BIST), "600519" (SSE), "300251" (SZSE), "2330" (TWSE), "3105" (TPEX)
    exchange: Exchange — crypto: KUCOIN, BINANCE, MEXC; stocks: EGX, BIST, NASDAQ, NYSE, BURSA, HKEX, SSE, SZSE, TWSE, TPEX, EPA (Euronext Paris), AMS, BRU, LIS, MIL, LSE, SIX, BME, XETRA, FWB, TSX, TSXV, NSE, BSE (India), IDX (Indonesia). If the symbol isn't listed there, the error's `listed_on` field names exchanges that do list it.
    timeframe: Time interval (5m, 15m, 1h, 4h, 1D, 1W, 1M)

Returns:
    Detailed analysis with all indicators and metrics

Input Schema

NameRequiredDescriptionDefault
symbolYes
exchangeNoKUCOIN
timeframeNo15m

Schema Changelog

Changes observed during successful MCP inspections.

  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, destructiveHint=false and openWorldHint=true, so the safety profile is covered structurally. The description adds one genuinely useful behavioral detail — the error's `listed_on` field for unsupported exchange/symbol pairs — but gives no sense of latency, rate limits, or result depth beyond a one-line 'all indicators and metrics'.

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?

Purpose, sibling disambiguation, and example are front-loaded in the first three sentences, which is the right structure. The exhaustive exchange roster is long and partly duplicative of the documented `listed_on` error field, so some tail text does not fully earn its place.

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 'detailed analysis with all indicators and metrics' is thin for a tool whose entire value is the readout, so return shape is underspecified. Everything needed to invoke it correctly — symbol format, exchange, timeframe, error fallback — is present.

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 0%, so the description must carry the parameter burden, and it does add real value: bare-ticker format with per-exchange examples (EGX, BIST, SSE, TWSE…), an enumerated exchange list, and allowed timeframe values. However, the exchange enumeration is a flat prose dump rather than stating which symbol forms pair with which exchange, and the schema itself has no enums to cross-check.

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?

States a specific verb+resource+scope ('detailed analysis for a specific asset (coin or stock) on specified exchange and timeframe') and explicitly differentiates itself by declaring it is the canonical single-symbol readout and naming the siblings it is not.

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 routes the agent: use `multi_timeframe_analysis` for trend alignment across timeframes and `combined_analysis` when news sentiment is also wanted, plus a worked call example. This is the when/when-not/alternative pattern in full.

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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