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get_candles

Read-onlyIdempotent

Get OHLCV (Open, High, Low, Close, Volume) candle data for a crypto futures symbol. Useful for charting, price history, and technical analysis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of candles to return
symbolYesTrading pair symbol, e.g. BTCUSDT
intervalNoCandle interval/timeframe1h

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo
candlesNoOldest first
intervalNo

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, idempotentHint=true, and destructiveHint=false, so the description need not repeat these. The description adds the context of 'crypto futures symbol' which is helpful, but does not disclose additional behavioral details such as sorting order, pagination, or timezone handling. With annotations covering the safety profile, this is adequate 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.

Conciseness5/5

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

The description is a single, well-structured sentence that front-loads the core purpose ('Get OHLCV candle data') followed by a brief use case. Every word earns its place with no filler or redundancy.

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 tool's simplicity, the presence of a detailed output schema, and strong parameter documentation, the description is sufficient for an agent to understand what to expect. It clarifies the trading context (crypto futures) and typical use cases. While it could mention default intervals or limit behavior, these are already defined in the schema, so the description does not need to repeat them.

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 has 100% description coverage for all parameters (symbol, interval, limit), so the schema already documents their meaning. The description adds the context of 'crypto futures' which is marginal but not essential. Per the rubric, a baseline of 3 is appropriate when schema coverage is high and description adds little extra.

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 tool retrieves OHLCV candle data for crypto futures symbols, specifying the resource (candles) and the format (OHLCV). It does not explicitly differentiate from siblings like get_price or get_technical_indicators, but the focus on candle data distinguishes it enough. The mention of charting and technical analysis adds context without explicit alternative references.

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 provides context on when to use the tool ('charting, price history, and technical analysis') but does not explicitly state when not to use it or mention alternative tools. No exclusions or pointers to get_price or get_technical_indicators are given, so the guidance is implied rather than 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 are clearly distinct, targeting different data categories (market data, signals, traders, account). Some potential overlap exists between get_price, get_candles, and get_market_stats, but their descriptions clarify the specific use cases. Overall, an agent can differentiate them reliably.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with the verb 'get' and a descriptive noun (e.g., get_candles, get_signals, get_trader_profile). This uniform naming makes it very predictable for an agent.

Tool Count5/5

With 15 tools, the count is within the ideal range for a domain-specific server. Each tool serves a distinct purpose related to market data, signals, and trader analytics, and none feel redundant or extraneous.

Completeness4/5

The tool set covers core read operations for market data, signals, traders, and account info, which aligns with the apparent purpose of a data-provider server. Minor gaps include lack of write operations (e.g., placing trades) or historical signal details beyond individual IDs, but these are not critical for a data-oriented service.