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aadeshrao123

Unreal-MCP

by aadeshrao123

set_niagara_renderer_binding

Binds a renderer input (e.g., color, size) to a particle/emitter attribute in a Niagara System by specifying the system path, emitter name, binding slot, and attribute.

Instructions

Set an attribute binding on an emitter's renderer.

Binds a renderer input (e.g. color, size) to a particle/emitter attribute.

Args: system_path: Path to the Niagara System asset emitter_name: Name of the target emitter binding_name: Binding slot name (e.g. "ColorBinding", "DynamicMaterialBinding", "PositionBinding", "SpriteRotationBinding") attribute: Attribute to bind to (e.g. "Particles.Color", "Particles.Scale") renderer_index: Index of the renderer (default 0)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
attributeYes
system_pathYes
binding_nameYes
emitter_nameYes
renderer_indexNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description bears the full burden. It explains the parameters and gives examples but does not disclose side effects (e.g., whether it overwrites existing bindings), failure conditions, or required permissions. This is minimally adequate but lacks depth.

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

Conciseness4/5

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

The description is well-structured with a summary line, an explanatory sentence, and a parameter list. It is somewhat lengthy but clear. Minor repetition (e.g., 'Bind' in both summary and explanation) but not excessive.

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 (not shown but stated), the description doesn't need to explain return values. It covers all parameters adequately, explains the binding concept, and provides examples. It could mention error cases or prerequisites but is generally complete.

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

Parameters5/5

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

Schema description coverage is 0%, yet the description provides detailed parameter explanations with examples (e.g., binding_name: 'ColorBinding', attribute: 'Particles.Color'). This fully compensates for the missing schema descriptions and adds significant meaning.

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 tool's purpose: 'Set an attribute binding on an emitter's renderer' and explains it binds a renderer input to a particle/emitter attribute. This distinguishes it from sibling tools like set_niagara_renderer_property (sets property directly) and add_niagara_renderer (adds a renderer).

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. It doesn't mention prerequisites, such as the emitter needing to have a renderer, or when a binding slot is available. The sibling tools list is large but no explicit comparison is given.

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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