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aadeshrao123

Unreal-MCP

by aadeshrao123

get_niagara_modules

Get modules from a Niagara emitter's script usage stack with optional input parameters and filter by function name.

Instructions

Get modules in an emitter's script usage stack.

Returns name, display_name, index, script_usage, script_path, and optionally input parameters per module. Use filter to get specific modules by function name.

Args: system_path: Path to the Niagara System asset emitter_name: Name of the target emitter script_usage: Which stack — EmitterSpawn, EmitterUpdate, ParticleSpawn, ParticleUpdate, SystemSpawn, SystemUpdate, or "all" for every stack include_inputs: If true, include each module's input parameters filter: Optional function name filter (e.g. "Spawn", "Color", "Gravity", "Velocity")

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filterNo
system_pathYes
emitter_nameYes
script_usageNoall
include_inputsNo

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, leaving the description to convey behavior. It implies a read operation with 'Get' but does not explicitly state non-destructive behavior or error conditions. The description adds some transparency by detailing return fields.

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: a single sentence for purpose, a sentence for return fields, and a bullet-style list for parameters. No extraneous text, well-structured.

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?

The description covers the main functionality and parameter details. However, it lacks mention of edge cases (e.g., missing emitter) or output schema specifics, though an output schema exists. Mostly complete for a read tool.

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 coverage, the description fully compensates by explaining each parameter, including examples for filter and valid values for script_usage. This adds significant meaning beyond the bare schema.

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 it retrieves modules from an emitter's script usage stack and lists the returned fields. It distinguishes itself from sibling tools like list_niagara_modules (which likely lists all module assets) by focusing on the attached modules in a specific emitter context, though this differentiation is implicit.

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 explicit guidance on when to use this tool versus alternatives. The description does not mention when not to use it or provide context for choosing it over other Niagara module tools.

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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