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get_spot_l4_orderbook

Read-onlyIdempotent

Reconstruct a Hyperliquid Spot L4 orderbook at a specified timestamp, returning order-level data with order IDs, user addresses, prices, and sizes.

Instructions

Get Hyperliquid Spot L4 orderbook reconstruction at a specific timestamp (Pro+ tier). Symbols are dashed canonical (e.g. 'HYPE-USDC'). Returns the full order-level orderbook with individual order IDs, user addresses, prices, and sizes. Live from 2026-05-05.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinYesHyperliquid Spot dashed canonical pair symbol (e.g. 'HYPE-USDC', 'PURR-USDC'). 294 pairs available. The server resolves the dashed form to Hyperliquid's wire format ('PURR/USDC', '@107') internally. Use get_spot_pairs to list all.
timestampNoTimestamp for orderbook reconstruction (Unix ms or ISO)
depthNoOrderbook depth — number of price levels per side

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesResult data object
Behavior5/5

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

Beyond the annotations (readOnlyHint, idempotentHint, openWorldHint), the description adds valuable behavioral details: it returns 'full order-level orderbook with individual order IDs, user addresses, prices, and sizes' and notes the data is 'Live from 2026-05-05'. No contradiction with annotations.

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 extremely concise, consisting of two tight sentences plus a third about data freshness. Every sentence adds necessary context without redundancy. It is well-structured and front-loaded with the core purpose.

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?

Given the presence of an output schema and exhaustive input schema, the description is complete. It covers the tier requirement, data coverage date, and return structure. It sufficiently distinguishes the tool among many similar orderbook endpoints.

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 covers all three parameters with detailed descriptions, so baseline is 3. The description adds minimal extra value beyond the schema, such as the 'dashed canonical' format and Pro+ tier, but does not significantly enhance parameter understanding.

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 specifies the verb ('Get'), resource ('Hyperliquid Spot L4 orderbook reconstruction'), and constraints ('at a specific timestamp', 'Pro+ tier'). It distinguishes itself from siblings by explicitly mentioning 'Spot' and 'L4', and noting the reconstruction aspect, which sets it apart from other orderbook tools.

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 states the tool is for 'orderbook reconstruction at a specific timestamp' and requires 'Pro+ tier', indicating when to use it. However, it does not explicitly mention when not to use it or provide direct alternatives among the many sibling orderbook tools, though the context is clear enough.

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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