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Hyperliquid Order Book

hyperliquid.markets.orderbook
Read-onlyIdempotent

Retrieve L2 order book depth for a perpetual pair on Hyperliquid by specifying coin symbol, significant figures, and mantissa for price rounding.

Instructions

Get L2 order book depth for a perpetual pair on Hyperliquid

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinYesCoin symbol (e.g. BTC, ETH)
n_sig_figsNoNumber of significant figures for price levels
mantissaNoMantissa for price rounding

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already provide readOnlyHint=true, destructiveHint=false, idempotentHint=true. Description adds that it returns L2 order book depth for perpetual pairs, which is more specific. No contradictions.

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?

Single sentence of 10 words, no filler, front-loaded with verb and resource. Highly concise and efficient.

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?

Output schema exists, so return values are known. Description covers purpose and scope. Could mention interaction between n_sig_figs and mantissa, but not critical for a simple query 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?

Schema description coverage is 100% with clear descriptions for coin, n_sig_figs, mantissa. Description adds no additional parametric meaning beyond schema.

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 verb 'Get', resource 'L2 order book depth', and domain 'perpetual pair on Hyperliquid'. It distinguishes from siblings like hyperliquid.markets.data (general market data) and hyperliquid.markets.klines (candlestick data).

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?

Implicitly clear from context: use when order book depth is needed. No explicit when-to-use or when-not guidance, but sibling differentiation is inherent in naming and description.

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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