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Taker Buy/Sell Volume Ratio

binance_get_taker_volume_ratio
Read-only

Rasio volume taker buy vs sell -- proxy tekanan beli/jual AGRESIF (market order), beda dari long/short ratio yang berbasis posisi terbuka. LANGSUNG dari Binance native takerlongshortRatio. Default ringkas (rasio terkini + <=10 poin terbaru); detail: "full" untuk histori lengkap sesuai limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
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
periodNo15m
symbolYesSimbol pair Binance Futures, contoh: BTCUSDT, ETHUSDT. Harus pair perpetual yang terdaftar di Binance USDS-M Futures.

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and openWorldHint=true, so the safety profile is clear. The description adds valuable behavioral detail beyond this: default behavior returns only the current ratio plus up to 10 recent points, while detail:'full' returns complete history according to limit. It also discloses the native Binance data source and the summary/full output distinction, which is not present in annotations.

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 compact and front-loaded with the core metric and its interpretation, followed by a contrast with the related ratio and output-mode guidance. It avoids fluff but is written as a single dense sentence; better punctuation or segmentation would improve scannability. Overall it is efficient and every clause earns 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?

For a relatively simple read-only market data tool with 4 parameters and no output schema, the description conveys the main output modes, the source, and the behavioral distinction from a sibling metric. It does not detail the full response shape or period behavior, but it references docs via the schema for full response details. The description is adequate for an agent to select and invoke the tool correctly.

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 50%, with symbol and detail already described in the schema. The tool description adds some meaning by clarifying that 'detail: full' returns history according to limit and that the default summary is token-efficient. However, the period parameter has no explanation in either the schema or the description, and the limit semantics are only partially clarified. The description does not fully compensate for the missing parameter documentation.

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?

The description clearly states the tool returns the taker buy/sell volume ratio as a proxy for aggressive market-order pressure, sourced directly from Binance's native takerlongshortRatio. It also explicitly distinguishes this metric from the long/short ratio, which is based on open positions, successfully differentiating it from sibling tools like binance_get_long_short_ratio.

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

Usage Guidelines4/5

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

The description provides clear usage context by framing the metric as aggressive buying/selling pressure and explicitly contrasting it with the open-position-based long/short ratio. It also gives practical guidance on choosing between the default summary output and the 'full' detail mode to save tokens. It does not enumerate all possible alternative tools, but the key distinction is covered.

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