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RBG-WebDesign

MCPBridge Server

anim_blueprint_build_from_json

Build an Unreal Engine Animation Blueprint from a JSON spec, setting the skeleton and generating the anim graph with states, blends, and slots.

Instructions

Build an Animation Blueprint from a JSON specification. Creates the AnimBP asset with the given skeleton and populates the anim graph from the JSON spec (state machines, blend spaces, slots, etc.).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
json_specYesJSON specification string for the AnimBP graph
asset_nameYesAnimation Blueprint asset name, e.g. ABP_Enemy
package_pathYesContent directory path, e.g. /Game/AnimBP
skeleton_pathYesFull path to Skeleton asset, e.g. /Game/Mannequin/Mesh/UE4_Mannequin_Skeleton
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses the main action (creates the asset, populates the anim graph) but omits critical behavior such as whether an existing asset is overwritten, required preconditions (e.g., skeleton compatibility), or failure modes if the JSON is invalid. This is a significant gap for a build tool.

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 sentences, front-loaded with the main action and outcome, with no redundant or filler content. Every phrase earns its place.

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?

The tool has moderate complexity, no output schema, and no annotations. The description explains the creation and population of the graph but lacks details on overwrite behavior, return values, or error handling. It is adequate but leaves clear gaps given the absence of structured metadata.

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 coverage is 100%, so each parameter has a description. The description adds extra meaning by elaborating what the json_spec contains ('state machines, blend spaces, slots, etc.'), which helps the agent understand the expected input beyond the generic 'JSON specification string' in the schema. This enriches parameter understanding.

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 uses a specific verb ('Build') and identifies the resource ('Animation Blueprint from a JSON specification'). It clearly distinguishes from siblings like blueprint_build_from_json by specifying Animation Blueprint and AnimBP asset, making the tool's scope unambiguous.

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 clearly indicates the tool is for building Animation Blueprints from JSON, which is a specific use case. It doesn't explicitly mention alternatives or exclusion cases, but the naming and context (vs. blueprint_build_from_json) provide clear guidance on when this tool 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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