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aadeshrao123

Unreal-MCP

by aadeshrao123

link_niagara_parameter

Link a module input to a Niagara parameter in Unreal Engine. Specify the parameter scope (User, System, Emitter, or Particle) for direct data binding.

Instructions

Link a module input to a Niagara parameter (user, system, emitter, or particle scope).

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 to link script_usage: Stack the module is in linked_parameter: Full parameter name including namespace (e.g. "User.MyParam", "Emitter.Age", "Particles.Velocity")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_nameYes
module_nameYes
system_pathYes
emitter_nameYes
script_usageYes
linked_parameterYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description carries the burden of revealing side effects. It does not state whether linking overwrites an existing link, whether it is reversible, or if any validation is performed. The behavioral impact is unclear.

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

Conciseness3/5

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

The description is fairly concise but includes an 'Args:' block that adds verbosity. The structure is readable but could be more streamlined.

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 required parameters, no annotations, and an output schema not elaborated, the description omits critical context such as whether linking creates a binding, if the parameter must pre-exist, or what the result looks like. The agent may lack information for correct invocation.

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?

Schema description coverage is 0%, so the description must compensate. It provides a helpful example for 'linked_parameter' (namespace and formatting), but other parameters like 'system_path' and 'emitter_name' lack any additional explanation 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 action ('Link') and the resource ('module input to a Niagara parameter'), specifying the scopes (user, system, emitter, particle). This distinguishes it from sibling tools like 'set_niagara_module_input' or 'add_niagara_user_parameter'.

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, such as when to link vs. set a module input. It does not mention prerequisites or contexts where linking is appropriate.

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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