modify_order

Modify an existing order

Server HyperLiquid MCP Server talkincode/hyperliquid-mcp-python
Category Write
Risk class Medium
Parameters 00 required

What modify_order does on HyperLiquid MCP Server

AI agents use modify_order to create or update resources in HyperLiquid MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your HyperLiquid MCP Server environment.

Why modify_order needs a policy

An AI agent can call modify_order faster than any human can review — one bad instruction and it creates or modifies resources in HyperLiquid MCP Server by the hundred, each call as confident as the last.

Questions about modify_order

What does the modify_order tool do? +

Modify an existing order. It is categorised as a Write tool in the HyperLiquid MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on modify_order? +

Register the HyperLiquid MCP Server MCP server in PolicyLayer and add a rule for modify_order: 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 modify_order? +

modify_order is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit modify_order? +

Yes. Add a rate_limit block to the modify_order 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 modify_order completely? +

Set action: deny in the PolicyLayer policy for modify_order. 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 modify_order? +

modify_order 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.

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