get_open_orders

Get all open orders

Server HyperLiquid MCP Server talkincode/hyperliquid-mcp-python
Category Read
Risk class Low
Parameters 00 required

What get_open_orders does on HyperLiquid MCP Server

AI agents call get_open_orders to retrieve information from HyperLiquid MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_open_orders needs a policy

Even though get_open_orders only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about get_open_orders

What does the get_open_orders tool do? +

Get all open orders. It is categorised as a Read tool in the HyperLiquid MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_open_orders? +

Register the HyperLiquid MCP Server MCP server in PolicyLayer and add a rule for get_open_orders: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches HyperLiquid MCP Server. Nothing to install.

What risk level is get_open_orders? +

get_open_orders is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_open_orders? +

Yes. Add a rate_limit block to the get_open_orders rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block get_open_orders completely? +

Set action: deny in the PolicyLayer policy for get_open_orders. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides get_open_orders? +

get_open_orders is provided by the HyperLiquid MCP Server MCP server (talkincode/hyperliquid-mcp-python). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.