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R2Rlabs

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Official

Get open positions

get_positions

Retrieve current open positions with signed notional in USD, account value, and today's realised PnL for Hyperliquid accounts. Monitor exposure and daily performance.

Instructions

Open positions with their signed notional in USD (negative is short), account value, and realised PnL so far today.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.6

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral burden; it does disclose useful data semantics (negative = short, PnL scoped to today) that the schema cannot convey. However, it never states that this is a read-only operation, nor anything about auth, rate limits, or how positions are scoped to an account.

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?

A single tight sentence with the key field semantics front-loaded; every clause earns its place and nothing is padded.

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 zero-parameter, read-only lookup with no output schema, the description does the essential work of telling the agent what fields come back and how to interpret them. It stops short of covering account scoping or the read-only nature, which matters given the absence of annotations.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate — the baseline for a no-parameter tool 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?

The description names the resource (open positions) and enumerates the data returned — signed notional in USD, account value, and today's realised PnL — so an agent knows exactly what this tool fetches. It omits an explicit verb and does nothing to differentiate itself from the overlapping get_book sibling.

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

Usage Guidelines2/5

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

There is no guidance on when to call this versus alternatives such as get_book or get_limits, and no stated prerequisites or context. The agent must infer usage entirely from the resource name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.