Skip to main content
Glama
aadeshrao123

Unreal-MCP

by aadeshrao123

add_statetree_condition

Add a condition to a StateTree asset's state enter conditions or transitions. Specify condition class, target, operand, and properties.

Instructions

Add a condition to a state's enter conditions or a transition's conditions.

Args: asset_path: Content path to the StateTree asset condition_class: Condition struct name (e.g. "StateTreeCompareIntCondition") state: State index path state_name: State name state_guid: State GUID target: "enter_conditions" or "transition" transition_index: Required when target="transition" operand: "And" or "Or" (how to combine with previous conditions) properties: JSON object for condition properties instance_properties: JSON object for condition instance data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNo
targetNoenter_conditions
operandNoAnd
asset_pathYes
propertiesNo
state_guidNo
state_nameNo
condition_classYes
transition_indexNo
instance_propertiesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description partially covers behavioral traits: it notes that transition_index is required when target='transition' and operand combines with previous conditions. However, it lacks disclosure of side effects, permissions, or error handling.

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 begins with a clear one-sentence summary, then lists parameters in a structured format. Though slightly verbose due to the Args: section, it is generally well-organized and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity with 10 parameters, the description adequately covers parameter usage. However, it does not address error scenarios (e.g., invalid state path) or return values, though an output schema exists.

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?

Schema description coverage is 0%, but the description explains each parameter's meaning, including required conditions for transition_index and the nature of properties/instance_properties as JSON objects. This adds significant value beyond the schema.

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 adds a condition to a state's enter conditions or a transition's conditions, specifying the action and resource. It distinguishes from sibling tools like add_statetree_state and add_statetree_task by focusing on conditions.

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?

The description does not provide any guidance on when to use this tool versus alternatives, such as when to add a condition versus a task. No prerequisites or exclusions are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/aadeshrao123/Unreal-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server