list_open_orders
List all currently open orders in your Interactive Brokers account, providing order details for management and review.
Instructions
List currently open orders.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| account | No |
List all currently open orders in your Interactive Brokers account, providing order details for management and review.
List currently open orders.
| Name | Required | Description | Default |
|---|---|---|---|
| account | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. 'List' implies a read operation, but there is no explicit statement about safety, side effects, or what constitutes 'open orders'. The description lacks details on the scope and behavior of the tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence that efficiently conveys the core purpose. No unnecessary words. However, it may be overly terse given the lack of other guidance.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the low complexity (1 parameter, no output schema), the description provides minimal but barely adequate information. It does not describe return values or filtering behavior, which would be needed for an agent to interpret results correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description does not mention the single parameter 'account', and schema description coverage is 0%. The parameter's purpose, effect on results, and default behavior are entirely undocumented, leaving the agent to guess.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'List currently open orders' is a clear verb+resource. It specifies the action (list) and the resource (open orders). However, it does not differentiate from siblings like 'get_executions' or 'get_positions', which may also return order-related data.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives such as 'cancel_order', 'get_executions', or 'get_positions'. The agent is left to infer the appropriate context without explicit exclusions or comparisons.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/selvakumarEsra/ibkr-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server