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QuantConnect

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by QuantConnect

list_backtests

Read-only

Retrieve a list of all backtests for a given project. Optionally include statistics for each backtest by setting includeStatistics to true. Provide the project ID as input.

Instructions

List all the backtests for the project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
backtestsNoCollection of backtest summaries for a project.
countNoNumber of backtest summaries retrieved in the response.
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?

Annotations already provide readOnlyHint=true, indicating a safe read operation. The description adds the scope of listing all backtests for a project but does not disclose potential limitations (e.g., pagination, filtering). No contradiction with annotations.

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?

The description is a single, concise sentence that conveys the essential purpose without extraneous information. Every word earns its place.

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?

Given the presence of an output schema and annotations, the description is mostly complete for a straightforward list operation. However, it could better clarify that the required input is a project ID within the 'model' object.

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

Parameters2/5

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

The top-level parameter 'model' has no description in the schema, and the tool description does not explain its usage. Although nested properties have descriptions, the tool description adds no value; schema description coverage is effectively 0% for the main parameter.

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 'list' and resource 'backtests', and specifies the scope 'for the project'. It distinguishes from sibling CRUD tools like 'create_backtest', 'read_backtest', etc.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage as a list operation but does not explicitly state when to use it versus alternatives, nor does it provide any exclusions 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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