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ue_set_foliage_property

Set a FoliageType property in Unreal Engine and immediately read back the value to confirm the change.

Instructions

Scrive una proprietà su un FoliageType e rilegge il valore risultante.

Args: foliage_type_path: path dell'asset FoliageType. property_name: es. "density", "radius", "random_yaw", "align_to_normal", "scale_x", "collision_with_world", "cull_distance". value: valore JSON; i path "/Game/..." vengono caricati come asset.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYes
property_nameYes
foliage_type_pathYes
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It usefully discloses that the tool both writes and reads back the resulting value, and that '/Game/...' paths in the 'value' parameter are loaded as assets. However, it omits critical mutation-related details such as permissions, reversibility, or failure behavior, which is a notable gap for a write operation.

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 compact and well-organized. It opens with a clear one-sentence function summary, then uses a structured Args list for parameter details. There is no redundant jargon or filler, making it easy to scan and parse.

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 covers the core action and parameter semantics, but lacks information about the return value format, error conditions, or any prerequisites. Since there is no output schema and no annotations, the absence of return-value or error details leaves agents partially blind. For a mutation tool, this is a moderate gap, but the provided information is sufficient for basic invocation.

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 schema provides no descriptions (0% coverage), so the description's Args section fully compensates. It explains each parameter: foliage_type_path, property_name with concrete examples, and value with a note about JSON and asset path handling. This is meaningful guidance that goes beyond the bare schema, though it could elaborate on the expected structure of the JSON value for properties beyond examples.

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 clearly states the tool's action: 'Scrive una proprietà su un FoliageType e rilegge il valore risultante' (writes a property on a FoliageType and reads back the resulting value). It names the specific resource (FoliageType) and the verb, making it distinct from other 'set' tools in the sibling list. It could be a 5 if it explicitly differentiated from sibling tools like ue_set_actor_property, but the resource focus is clear.

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 does not provide any guidance on when to use this tool versus alternatives. There is no mention of prerequisites, exclusions, or scenarios where another tool might be more appropriate. It simply describes the action without situational context, leaving the agent to infer applicability.

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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