Skip to main content
Glama
talkincode

HyperLiquid MCP Server

by talkincode

get_open_orders

Retrieve a list of all currently open orders on HyperLiquid. Enables quick review of active positions and pending trades.

Instructions

Get all open orders

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only repeats the action and resource without revealing important traits such as whether orders are returned for all markets, whether pagination is used, or whether any filtering is applied. This is a significant transparency gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence of four words, which is extremely concise and front-loaded. While it lacks substantive detail, it does not waste any words and is efficiently structured.

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

Completeness2/5

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

Given the simplicity of the tool and the presence of an output schema, the description could be minimally adequate, but it fails to provide essential context such as the definition of 'open' orders, whether the list includes all trading pairs, or if canceled orders are excluded. This leaves the agent uncertain about the tool's behavior in edge cases.

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 has zero parameters, and the schema is fully covered since there are no properties to describe. The description correctly implies that no input is required, so there is effectively nothing to add beyond what the schema already provides.

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 clearly identifies the action ('Get') and the resource ('all open orders'), which is specific and distinct from sibling tools like get_open_positions or get_trade_history. However, it does little more than restate the tool name, so it does not fully differentiate the tool's unique scope.

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 use this tool versus alternatives. The description does not mention any prerequisites, typical use cases, or situations where another tool would be preferred, leaving the agent to infer the appropriate context.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/talkincode/hyperliquid-mcp-python'

If you have feedback or need assistance with the MCP directory API, please join our Discord server