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spawn_static_mesh

Spawns a static mesh actor in Unreal Engine using an existing mesh asset from the content browser, with support for transform, material, and color parameters.

Instructions

Spawn a static mesh actor using an existing static mesh asset from the content browser.

Parameters:

  • kwargs: String containing parameters as key=value pairs or JSON object Example: "static_mesh=/Game/AssetName/Meshes/Bench01 location=100,100,0 name=MyBench"

Supported parameters:

  • static_mesh: (required) Path to the static mesh asset

  • actor_label/name: Name for the actor

  • location: x,y,z location coordinates

  • rotation: pitch,yaw,roll rotation in degrees

  • scale: x,y,z scale factors

  • material_override: Path to material to use

  • color: r,g,b color values (0.0-1.0)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It mentions that the tool uses an existing asset and lists parameters, but it does not describe side effects, permissions required, or what happens on success (e.g., returns an actor reference). The output schema exists but is not shown, so the agent lacks behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is moderately sized, including essential details like the required static_mesh parameter and optional parameters. It could be more concise by removing redundant formatting; however, it is structured logically with an example and parameter list.

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

Completeness2/5

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

Though an output schema exists (alleviating the need to explain return values), the description lacks behavioral transparency and usage guidelines. For a spawning tool, critical context about success outcomes and permissions is missing, making it incomplete for an AI agent.

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 input schema has 0% parameter description coverage, so the description fully compensates by listing all supported keys (e.g., static_mesh, location, rotation) and showing an example format. This adds significant meaning beyond the schema's minimal definition.

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?

Description clearly states the tool spawns a static mesh actor from an existing asset, specifying the verb and resource. However, it does not distinguish from the sibling tool 'create_static_mesh_actor', which may have overlapping functionality.

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 provides a list of supported parameters and an example of kwargs format, which helps in usage. However, it does not specify when to use this tool over alternatives or mention any prerequisites or exclusions.

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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