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Funding rates across top-30 Binance perps

get_funding_heatmap
Read-only

Retrieve current funding rates, 24h open interest change, and 24h price change for top-30 Binance USDT-M perpetuals. Filter by symbol for one coin's funding data.

Instructions

Call this when the user asks for the full current funding table across the top-30 Binance perp universe, or the funding rate of one specific coin. For a pre-ranked top-10 of the most extreme funding rates, use get_top_movers instead. Returns per-symbol funding rate (per settlement interval), 24h open interest change and 24h price change for the top-30 Binance USDT-M perpetuals. Positive funding means longs pay shorts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoOptional. Filter to one symbol, e.g. BTCUSDT or just BTC. Omit to get all 30 rows.
Behavior4/5

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

Annotations already mark it read-only and open-world. The description adds useful context about the output fields (funding rate, OI change, price change) and explains the funding interpretation (longs pay shorts), going beyond the annotation hints.

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?

Three concise sentences, front-loaded with the primary use case, then an exception, then return details. Every sentence earns its place with no redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, the description fully covers what the tool returns (per-symbol funding rate, 24h OI change, 24h price change) and the interpretation, making it self-sufficient for a simple optional-parameter tool.

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 schema already documents the single optional 'symbol' parameter with filtering and default behavior (omit to get all 30 rows). The description confirms this but adds little beyond schema coverage, so baseline 3 is appropriate.

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 funding rates for the top-30 Binance perp universe or a single coin, with a specific verb ('Call this... Returns') and distinguishes it from sibling get_top_movers.

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 specifies when to call (user asks for full table or one coin's funding rate) and provides an alternative (get_top_movers for top-10 extremes), making the decision clear.

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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