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RealSlimShady2000

Roblox Executor MCP Server

Get the descendants tree of a Roblox instance

get-descendants-tree

Retrieve a depth-limited tree of descendants under a Roblox instance. Optionally filter by class and control depth to explore hierarchical structure.

Instructions

Get a depth-limited hierarchy of descendants under a Roblox instance. Use for broad structure exploration; use search-instances for selector-based filtering.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rootYesThe instance path to get the tree from (e.g., 'game.Workspace', 'game.Workspace.CurrentRooms')
maxDepthNoMaximum depth to traverse (default: 3). Higher values return more detail but larger output.
classFilterNoOptional class name filter — only show instances that IsA this class (e.g., 'BasePart', 'Model'). Leave empty to show all.
maxChildrenNoMaximum number of children to show per node (default: 50). Prevents overwhelming output for large containers.
Behavior2/5

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

No annotations provided, so description carries full burden. It does not disclose behavioral traits like read-only nature, performance impact, or error behavior (e.g., invalid root path).

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?

Two concise sentences that front-load purpose and usage. Could be improved by adding a brief behavioral note, but no waste.

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?

With 4 parameters and no output schema or annotations, the description is adequate for basic use but lacks details on return format, error handling, and limitations, leaving gaps for an AI agent.

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 100% with detailed param descriptions. The description adds no additional meaning beyond the schema, so baseline of 3 is appropriate.

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?

Clear verb 'get' and resource 'depth-limited hierarchy of descendants' distinguish from sibling 'search-instances', which is explicitly mentioned for selector-based filtering.

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

Usage Guidelines5/5

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

Explicitly states when to use ('broad structure exploration') and when to use alternative ('search-instances for selector-based filtering').

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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