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QuantConnect

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by QuantConnect

read_live_orders

Retrieve orders from a live algorithm. Fetches a range of orders by start and end indices (max 1,000) for a specified project. Snapshot updates every 10 minutes.

Instructions

Read out the orders of a live algorithm.

The snapshot updates about every 10 minutes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
ordersNoCollection of orders.
lengthNoTotal number of returned orders
successNoIndicate if the API request was successful.
errorsNoList of errors with the API call.
Behavior3/5

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

The description adds the behavioral note that the snapshot updates every 10 minutes. However, no annotations are provided for readOnly or destructive hints, so the description carries the burden but does not fully disclose permissions or limitations.

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?

Two concise sentences, front-loaded with the purpose. No unnecessary words.

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?

The description covers the core purpose and a key behavioral trait (update frequency). While the output schema exists and presumably defines the return structure, the description could briefly mention that it returns order data. Still, it is complete enough for a simple read tool.

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

Parameters3/5

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

The input schema already provides descriptions for all parameters (start, end, projectId), so the description adds no additional meaning beyond the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'read' and the resource 'orders of a live algorithm', distinguishing it from sibling tools like read_live_algorithm or read_backtest_orders.

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?

No guidance on when to use this tool vs alternatives such as read_live_insights or read_live_portfolio. The description assumes the agent knows the context.

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

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