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QuantConnect

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by QuantConnect

read_backtest_orders

Read-only

Retrieve orders from a QuantConnect backtest using project ID, backtest ID, and a range of order indices. Returns order details for analysis.

Instructions

Read out the orders of a backtest.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
ordersNo
lengthNoTotal number of returned orders
Behavior2/5

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

While annotations indicate readOnlyHint=true, the description does not disclose any behavioral traits like pagination limits, ordering, or error conditions. It adds nothing beyond the annotation.

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 efficient sentence that conveys the essential purpose. It is front-loaded but could include a bit more context without becoming verbose.

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

Completeness3/5

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

The description is adequate for a simple read operation with an output schema. However, it omits important constraints (e.g., end - start < 100) and does not mention the response format, which the output schema might cover.

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 has high description coverage with each parameter documented (start, end, projectId, backtestId). The tool description adds no extra parameter semantics, so the baseline score of 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 backtest', making the tool's purpose unambiguous. It also distinguishes from sibling tools like 'read_backtest' and 'read_live_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?

The description provides no guidance on when to use this tool versus alternatives such as 'read_live_orders' or 'read_backtest'. It lacks context for typical use cases or prerequisites.

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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