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aadeshrao123

Unreal-MCP

by aadeshrao123

add_niagara_renderer

Add a renderer to an emitter in a Niagara system. Choose from sprite, mesh, ribbon, light, or component renderers, with optional material and mesh assignments.

Instructions

Add a renderer to an emitter.

Args: system_path: Path to the Niagara System asset emitter_name: Name of the target emitter renderer_type: Renderer class — SpriteRenderer, MeshRenderer, RibbonRenderer, LightRenderer, ComponentRenderer material_path: Optional material asset path for sprite/mesh/ribbon renderers mesh_path: Optional static mesh path for MeshRenderer

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mesh_pathNo
system_pathYes
emitter_nameYes
material_pathNo
renderer_typeYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 explains the parameters but does not mention side effects (e.g., whether adding a renderer overwrites an existing one, requires specific permissions, or is reversible). The behavior is somewhat predictable from the name, but deeper transparency is missing.

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 begins with a clear purpose sentence, followed by a bulleted list of parameters with succinct explanations. Every sentence adds value; no extraneous text.

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 (not shown but indicated), the description covers parameter semantics adequately. However, it omits potential error conditions and prerequisites. For a set of tools with many siblings, a bit more context (e.g., 'the emitter must already exist') would enhance completeness.

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?

The description adds significant meaning beyond the input schema, which has 0% parameter description coverage. It explains each parameter's role, lists valid renderer_type values, and clarifies optional vs required fields. This enables correct parameter selection and reduces ambiguity.

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 action: 'Add a renderer to an emitter.' It specifies the resource (emitter in a Niagara system) and the verb (add). Among sibling tools like remove_niagara_renderer and get_niagara_renderer_info, this tool's purpose is distinct and unambiguous.

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 provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites or restrictions. While the action is straightforward, adding context such as 'requires an existing emitter' or 'use after add_niagara_emitter' would help ensure correct invocation.

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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