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aadeshrao123

Unreal-MCP

by aadeshrao123

set_niagara_module_input

Set a static value on any module input parameter in a Niagara system by specifying the emitter, module, input name, and value as a string, with support for scalars, vectors, colors, enums, and booleans.

Instructions

Set a static value on a module input parameter.

Args: system_path: Path to the Niagara System asset emitter_name: Name of the target emitter module_name: Name of the module input_name: Name of the input parameter to set value: Value as string — scalars, vectors "(X,Y,Z)", colors "(R,G,B,A)", enums, bools script_usage: Stack the module is in

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueYes
input_nameYes
module_nameYes
system_pathYes
emitter_nameYes
script_usageYes

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, and the description fails to disclose behavioral traits like overwrite behavior, error handling, or required permissions. It merely states the action without any side effects or constraints.

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 concise, using a docstring format with an 'Args' block. It avoids redundancy and is front-loaded with purpose. Minor improvement could be removing the 'Args:' header for brevity.

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?

Given 6 parameters, no annotations, and an output schema, the description is incomplete. It does not explain return values, error states, or the effect on the Niagara system. The tool's complexity warrants more context for safe usage.

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

Parameters3/5

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

With 0% schema description coverage, the description partially compensates by explaining the 'value' parameter format (scalars, vectors, colors, enums, bools). However, the other five parameters lack any added semantic meaning beyond their names.

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 sets a static value on a module input parameter. The verb 'Set' and resource 'module input parameter' are specific, and the tool is well-differentiated from siblings like 'get_niagara_module_input' and 'clear_niagara_module_input'.

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 such as 'set_niagara_dynamic_input' or 'set_niagara_curve'. The description does not mention prerequisites, conditions, or exclusions, leaving the agent to infer usage context.

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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