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aadeshrao123

Unreal-MCP

by aadeshrao123

get_niagara_renderer_info

Retrieves detailed information about a renderer on a Niagara emitter in Unreal Engine. Specify system path, emitter name, and optional renderer index.

Instructions

Get detailed information about a renderer on an emitter.

Args: system_path: Path to the Niagara System asset emitter_name: Name of the target emitter renderer_index: Index of the renderer (default 0, the first renderer)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
system_pathYes
emitter_nameYes
renderer_indexNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations exist, so the description must disclose behavior. It states it 'gets information' but doesn't describe what information is returned, side effects, error conditions, or requirements like system compilation. The minimal description fails to provide transparency beyond the basic action.

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 extremely concise: one sentence for purpose followed by a bulleted parameter list. Every sentence adds value, no filler, and the key action is front-loaded.

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?

Despite having an output schema, the description does not explain what 'detailed information' includes. It lacks prerequisites, usage context among many Niagara renderer tools, and any safety notes. For a tool returning complex data, this is insufficient.

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?

With 0% schema description coverage, the description adds essential context for each parameter: system_path (path to asset), emitter_name (target), renderer_index (default 0). This meaningfully supplements the raw schema types.

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 retrieves detailed renderer information from an emitter, using a specific verb-object structure. It naturally contrasts with sibling tools like set_niagara_renderer_property, but doesn't explicitly differentiate them.

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 on when to use this tool versus alternatives. It does not mention prerequisites, appropriate contexts, or scenarios where this tool is preferred over others.

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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