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Ironflow: Hyperliquid data

Wallet maker/taker split

get_user_maker_taker
Read-only

Maker vs taker breakdown of a Hyperliquid wallet's fills per market: volume, fees and rebates. A high maker share with negative maker fees marks a market maker.

Input Schema

NameRequiredDescriptionDefault
toNoWindow end: Unix ms or seconds, or ISO 8601 (2026-10-01T00:00:00Z)
fromNoWindow start: Unix ms or seconds, or ISO 8601 (2026-10-01T00:00:00Z)
marketNoOptional market filter: BTC-PERP or a Hyperliquid name (BTC, xyz:NVDA)
addressYes0x-prefixed 20-byte hex address

Output Schema

NameRequiredDescriptionDefault
toNoWindow end, Unix milliseconds
dataNoPer market
fromNoWindow start, Unix milliseconds
totalNoAll markets
noticeNoPresent when the API added a note: how a market name was read, that data starts later than asked because of the history window, or a next step such as a free key
addressNoWallet address (0x…)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds real value beyond that by disclosing what the breakdown contains (volume, fees, rebates) and an interpretive rule for spotting market makers (high maker share with negative maker fees). No mention of default time window or result granularity, which keeps it below a 5.

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?

Two tight sentences: the first front-loads what is returned, the second adds actionable interpretation. No filler and nothing buried.

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?

With an output schema present and full parameter documentation, the description needn't detail return values. The remaining gap is that from/to are optional and no default window is stated, which matters for interpreting the result.

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%, so all four parameters are fully documented with formats in the schema. The description only echoes the 'per market' scoping and says nothing about the from/to window conventions, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific resource and operation: maker vs taker breakdown of a wallet's fills per market, returning volume, fees and rebates. That is enough to distinguish it from generic siblings like get_fills or get_user_summary, though it never names an alternative explicitly.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: it's for analyzing a wallet's execution style per market. There is no when-to-use/when-not guidance against close siblings (get_fills, get_wallet_behavior, get_trader_profile), so the agent must infer selection.

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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