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elemenopyunome

unreal-engine-mcp

search_unreal_classes

Search Unreal Engine classes, enums, and libraries by name to discover available modules and plugins before executing Python scripts.

Instructions

Search names in the live unreal module (classes, enums, libraries).

e.g. 'Niagara', 'Landscape', 'Sequencer', 'PCG', 'AbilitySystem', 'Spline', 'Foliage', 'Chaos'. Use this to discover what's available (including from enabled plugins) before writing execute_python.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

No annotations are provided, so the description carries the burden. It correctly states the tool searches the live module and includes enabled plugins. It does not mention side effects, but as a read-only search, this is sufficient.

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 relatively concise and front-loads the purpose with a clear sentence followed by examples. It could be slightly more structured, but it is efficient with no wasted words.

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 the presence of an output schema (mentioned in context), the description adequately covers the tool's purpose and usage. For a two-parameter search tool, it provides enough context for an agent to use it correctly.

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 coverage is 0%, but the description adds context via examples (e.g., 'Niagara', 'Landscape') implying query values. However, it does not elaborate on the expected format or behavior of the 'query' parameter beyond general search, missing an opportunity to add value.

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 ('Search names') and the resource ('live unreal module including classes, enums, libraries'). The examples further clarify the scope, distinguishing from sibling tools like introspect_unreal_class.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly advises using this tool before execute_python to discover available classes. It provides clear usage context, though it does not specify when not to use it or mention alternative 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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