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get_behavior_tree_info

Read-onlyIdempotent

Retrieve an Unreal Engine behavior tree's structure and properties, including blackboard keys and root node, to inspect or debug AI behavior.

Instructions

Get information about a behavior tree's structure and properties

Returns: { behavior_tree_path: string, name: string, blackboard_asset: string|null, blackboard_keys: [{ name: string, type: string, instance_synced: bool }], root_node: object|null }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
behavior_tree_pathYesPath or name of the behavior tree to query

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the return shape, which is useful given no output schema, but it does not disclose any behavioral traits beyond what annotations already provide, such as permissions or error conditions.

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 two compact sentences, front-loads the purpose, and uses the second sentence efficiently to describe the return payload. There is no unnecessary filler.

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?

With no output schema, the description steps in to document the return fields and their types, which is the key missing structured information. It does not fully explain the root_node object shape, but it is nearly complete for a simple read-only getter.

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 100%, so the single behavior_tree_path parameter is already documented in the schema. The description repeats behavior_tree_path in the return shape but adds no additional syntax, format, or constraint details about the parameter.

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 uses a specific verb and resource: 'Get information about a behavior tree's structure and properties.' It is clear what the tool does, though it does not explicitly distinguish itself from sibling tools like get_behavior_tree_status or get_blackboard_data.

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?

There is no explicit when-to-use or when-not-to-use guidance, and no alternatives are named. The agent must infer that this is the right tool for inspecting a behavior tree asset based only on the tool name and description.

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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