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Combined TA + Sentiment + News

combined_analysis
Read-only

POWER TOOL: TradingView technical analysis + news sentiment + financial news.

Use this when you want TA AND sentiment AND news for one symbol in a
single call. For indicators only, `coin_analysis` is faster; for
cross-timeframe trend alignment use `multi_timeframe_analysis`.

Example: combined_analysis(symbol="NVDA", exchange="NASDAQ", timeframe="1D")

Args:
    symbol: Bare ticker, no exchange prefix ("AAPL", "BTCUSDT", "THYAO", "GDX")
    exchange: Exchange (NASDAQ, NYSE, AMEX, NYSEARCA, PCX, BINANCE, KUCOIN, MEXC, BIST, EGX, TWSE, TPEX)
    timeframe: Analysis timeframe (5m, 15m, 1h, 4h, 1D, 1W)

Input Schema

NameRequiredDescriptionDefault
symbolYes
exchangeNoNASDAQ
timeframeNo1D

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
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. The description adds relative-cost context ('coin_analysis is faster'), implying this composite call is heavier, but it says nothing about latency, rate limits, or partial-failure behavior when one data source is unavailable. Adequate given annotations, but not rich.

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-loaded with purpose, then usage routing, then a concrete call example, then Args. Every block earns its place. Minor waste in the 'POWER TOOL' framing and slight duplication of the title, but overall tight and well ordered.

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 output schema, the description still names the three output components the agent will receive (TA, sentiment, news), which is enough to know the return shape at a high level. It lacks detail on result structure or how the three sections are combined, but nothing essential to correct invocation is missing.

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?

Schema description coverage is 0%, so the description must carry parameter meaning, and it does: symbol is a bare ticker with no exchange prefix (with concrete examples like 'THYAO', 'GDX'), plus enumerated exchange and timeframe values that the schema omits entirely. It does not clarify default behavior (exchange defaults to NASDAQ, timeframe to 1D) or what happens on an unsupported exchange/timeframe pair.

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 composite resource (TradingView technical analysis + news sentiment + financial news) and its scope: one symbol in a single call. It explicitly differentiates from siblings by naming coin_analysis and multi_timeframe_analysis and distinguishing what each covers.

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 states when to use it ('when you want TA AND sentiment AND news for one symbol in a single call') and routes to alternatives with the condition that selects them: coin_analysis for indicators only (faster), multi_timeframe_analysis for cross-timeframe trend alignment. No inference required.

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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