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Data Candlestick (Spot)

binance_get_spot_klines
Read-only

Candlestick OHLCV pasar SPOT per timeframe, native Binance. Versi Spot dari binance_get_klines -- bandingkan bias/volume kedua versi untuk deteksi leverage-driven move. Maks 1000 candle/panggilan (beda dari Futures 1500). Default ringkas, detail: "full" atau includeCandles: true untuk array candle penuh.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoJumlah candle yang diambil, maksimal 1000
detailNo'summary' (default): metrik turunan + <=10 poin terbaru saja, HEMAT TOKEN. 'full': array/level mentah lengkap seperti sebelumnya. Lihat docs/tool_response_reference.md.summary
symbolYesSimbol pair Binance Futures, contoh: BTCUSDT, ETHUSDT. Harus pair perpetual yang terdaftar di Binance USDS-M Futures.
endTimeNoWaktu akhir (ISO 8601) — opsional, dipakai bareng startTime untuk membatasi window spesifik.
intervalYesTimeframe candle: 1m, 5m, 15m, 30m, 1h, 2h, 4h, 6h, 12h, 1d
startTimeNoWaktu mulai (ISO 8601, contoh "2026-07-01T00:00:00Z") — opsional, buat narik histori jauh ke belakang untuk backtest.
includeCandlesNoDEPRECATED, dipertahankan untuk kompatibilitas -- pakai `detail: "full"` sebagai gantinya.

TDQS

A4.8/5.0
Behavior5/5

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

Annotations declare readOnlyHint and openWorldHint, and the description does not contradict them. It adds behavioral context beyond annotations: the 1000-candle per call limit, default concise output, and options to request full candle arrays via detail or includeCandles. This helps the agent know exactly what to expect in terms of data volume and response format.

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 two sentences long, with the core purpose and key differentiators front-loaded. Every phrase earns its place: it names the data type, the spot market, the comparison with futures, the limit, and the detail options. No fluff 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 moderate complexity and the absence of an output schema, the description partially covers return format by mentioning OHLCV and 'array candle penuh' for full detail. It also references documentation for the detail parameter, but the description itself could more explicitly describe the default summary structure. It covers essential constraints (max 1000) and options, so it's adequate but not exhaustive.

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 100%, so the baseline is 3. The description adds value by explaining the trade-off between summary and full detail, and by highlighting the deprecated includeCandles in favor of detail. However, it doesn't dive deeper into parameter syntax beyond what the schema already provides, so it earns a 4 rather than 5.

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?

Description clearly states this tool fetches spot OHLCV candlestick data per timeframe, explicitly identifying it as the Spot version of binance_get_klines. It distinguishes itself from futures and other kline tools by noting the 1000 candle limit and the purpose of comparing spot vs futures for leverage detection.

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?

The description explicitly states when to use this tool: to access spot market data, and to compare with the futures version (binance_get_klines) to detect leverage-driven moves. It also differentiates the max limits (1000 vs 1500), giving concrete guidance on when this is the appropriate choice.

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

A3.7/5.0
Disambiguation4/5

Most tools map to a distinct Binance metric or analytic concept, and descriptions explicitly contrast near-neighbors (spot vs futures, snapshot vs delta, 'BEDA dari...' notes). A few pairs could still be confused—`binance_get_basis` vs `binance_get_basis_history` and `binance_get_agg_trades` vs `binance_get_recent_trades`—but their purpose differences are explained well enough for careful agents.

Naming Consistency4/5

The dominant pattern is `binance_<verb>_<object>` in snake_case, with consistent complementary pairs like `get_*` and `get_*_history`. There are minor style breaks: `orderbook` vs `order_book`, the `whalescope_*` prefix, and `whalescope_full_pipeline` which lacks a verb, but the overall structure is readable and predictable.

Tool Count1/5

56 tools cross the explicit '50+ tools' extreme threshold. Although the Binance Futures domain is broad, many tools are single-endpoint or single-metric wrappers—multiple klines variants, order book variants, and ticker variants—that could be consolidated into parameterized composite tools. The surface is far too large for most agents to navigate efficiently.

Completeness4/5

The public market-data and analytics surface is remarkably complete: klines, funding, open interest, long/short ratios, top-trader data, liquidations, basis, order book behavior, regime detection, and full pipeline scoring are all covered. The main gaps are documented limitations such as unavailable liquidation-by-price data and non-public account/execution tooling, but agents can work around them without dead ends.

Resources