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by RBG-WebDesign
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blackboard_create

Create a BlackboardData asset with typed keys for Unreal Engine AI, supporting Bool, Int, Float, String, Name, Vector, Rotator, Object, and Class types.

Instructions

Create a BlackboardData asset with typed keys (Bool, Int, Float, String, Name, Vector, Rotator, Object, Class).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "path": "<path>",
      "name": "<name>"
    },
    "name": "blackboard_create"
  }
}

Input Schema

NameRequiredDescriptionDefault
keysNo
nameYesAsset name, e.g. BB_Enemy.
pathYesContent directory.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A3.5/5.0
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It mentions the creation of an asset but does not disclose side effects, potential overwrites, required permissions, or return values. This lack of context is a significant gap.

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 a single, well-structured sentence that is front-loaded with the action and resource. It includes essential detail (the key types) without unnecessary words, making it highly concise.

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 description covers the core purpose and key types, but it omits information about optional parameters (keys is optional given only path and name are required), error handling, or any constraints. Given the moderate schema coverage and lack of annotations, the description is adequate but leaves gaps.

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?

The description adds value by enumerating the valid key types (Bool, Int, Float, etc.) that are not fully explained in the schema's enum. It also clarifies that keys are typed. However, it does not describe the 'keys' array structure in detail, leaving some burden on 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 verb 'Create' and the resource 'BlackboardData asset', and it specifies the typed keys. This distinguishes it from other create tools like blueprint_create or material_create, as it is uniquely about BlackboardData.

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 provides no guidance on when to use this tool versus alternatives, nor any exclusions or prerequisites. It simply states what it does, leaving the agent to infer usage from the name.

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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