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booltool_auto_difference

Subtract a target object from a main object and remove the cutter. Uses Bool Tool extension when available, with fallback to native boolean modifier.

Instructions

Auto boolean difference: subtract the target object from the main object.

The target object is used as a cutter and removed after the operation.

Uses Bool Tool extension if installed, otherwise falls back to native boolean modifier (a warning will be included in the response).

Args: object_name: Name of the object to cut from. target_name: Name of the cutter object (will be removed).

Returns: Confirmation dict with operation details. May include a 'warning' field if Bool Tool is not available and native fallback was used.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
object_nameYes
target_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Discloses key behaviors: the target object is removed after the operation, and it falls back to native boolean modifier if the Bool Tool extension is not installed, with a warning in the response. This adds context beyond the operation itself. However, it does not mention potential prerequisites or constraints.

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 concise and well-structured. It leads with the purpose, then explains fallback behavior, followed by parameter and return descriptions. Every sentence adds value without redundancy.

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 that an output schema exists, the description adequately summarizes the return value. It covers the operation, fallback, and parameter meanings. However, it could mention prerequisites (e.g., objects must be mesh) or potential side effects for full completeness.

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

Parameters4/5

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

The description explains each parameter in the Args section: object_name is the object to cut from, target_name is the cutter object that will be removed. This adds meaning beyond the schema, which only has titles and types. The schema description coverage is 0%, so the description compensates well.

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?

Clearly states it performs a boolean difference by subtracting the target object from the main object. The name and description make the purpose evident, but it does not explicitly differentiate from sibling tools like booltool_auto_union or boolean_operation, which could cause confusion.

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 explicit guidance on when to use this tool versus alternatives. The description implies it is for subtraction, but does not state when not to use it or mention alternatives like booltool_auto_intersect or the generic boolean_operation.

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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