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delete_optimization

Idempotent

Delete an optimization from QuantConnect by providing its unique optimization ID. Remove completed or unwanted optimization runs to keep your backtesting data organized.

Instructions

Delete an optimization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
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 provide idempotentHint: true, indicating idempotent behavior, but the description adds no additional context. With annotations present, the description's lack of behavioral details is acceptable, but it does not go beyond what annotations already convey.

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 extremely concise at three words, conveying the essential purpose with no wasted words. It is appropriately sized for a simple deletion tool.

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?

For a simple delete operation with an output schema and idempotent annotation, the description is minimal but adequate. However, it lacks information about permanence, error handling, or authentication requirements, leaving gaps in completeness.

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 schema has 0% description coverage for the top-level parameter 'model', though the nested optimizationId has a description. The tool description does not explain how to specify the optimization ID, adding no value beyond the schema's implicit structure.

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

Purpose4/5

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

The description 'Delete an optimization.' clearly states the action and resource, distinguishing it from sibling tools like update_optimization or delete_backtest. It is specific enough for an agent to understand the tool's core function.

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 is provided on when to use this tool versus alternatives, such as aborting an optimization or updating it. There is no mention of prerequisites (e.g., optimization must exist) or when not to use it.

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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