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get_technical_indicators

Read-onlyIdempotent

Compute technical indicators (RSI, MACD, EMA, SMA, Bollinger Bands, ATR, ADX, Stochastic, OBV, VWAP, CCI, MFI, Williams %R) for a crypto futures symbol at a specific timeframe.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesTrading pair symbol, e.g. BTCUSDT
intervalNoCandle interval/timeframe1h
indicatorsNoTechnical indicators to compute

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
priceNoLatest close, or null when no candles are stored
symbolNo
intervalNo
indicatorsNoRequested indicators keyed by name; shape differs per indicator

TDQS

A3.5/5.0
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 read-only nature is covered. The description adds no extra behavioral context beyond listing indicators, such as performance implications of computing many indicators or data availability constraints. With annotations present, this is a minimum acceptable score.

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 sentence, front-loaded with the verb and resource, and lists indicators efficiently. It is concise without redundancy, though the list of indicators is long but necessary for clarity.

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?

Given the output schema exists (though not shown), the description needn't explain return values. Complexity is moderate with 13 indicators. The description is complete enough: it covers the essential inputs (symbol and timeframe) and the indicator list, making it suitable for agent selection and invocation.

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?

The input schema covers 100% of parameters with descriptions for each (symbol, interval, indicators). The description lists all indicator names but does not add detail like default periods or how to specify multiple indicators beyond the schema. Baseline 3 is appropriate since schema does the heavy lifting.

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 clearly states the verb 'compute' and the resource 'technical indicators' for crypto futures, enumerating all supported indicators. It distinguishes from siblings like get_candles (raw data) and get_price (simple price), though it does not explicitly name alternatives.

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

Usage Guidelines3/5

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

The description implies usage for computing indicators on a symbol and timeframe, but does not provide explicit when-to-use or when-not-to-use guidance versus siblings. It lacks exclusions or alternative tool mentions, so it's adequate but not fully explicit.

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 have clearly distinct purposes: market data, signals, trader profiles, and account info are well separated. However, get_elite_leaderboard and get_top_traders both return ranked trader lists and could easily be mistaken for one another despite slightly different criteria.

Naming Consistency5/5

Every tool uses a consistent get_ prefix followed by a descriptive noun phrase (get_candles, get_signal_details, get_trader_profile). The naming pattern is highly predictable and makes the toolset easy to navigate.

Tool Count5/5

15 tools is at the upper bound of the ideal range, but each tool maps to a distinct data surface—market data, signals, traders, leaderboards, and account info. The count feels appropriate for a comprehensive crypto intelligence API.

Completeness5/5

The toolset covers the core read-only domain thoroughly: price/candle data, technical indicators, signals and their stats, trader rankings and profiles, position history, and account details. No significant gaps are apparent for the stated purpose of a smart-money tracking and analytics service.

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