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organize_project_assets

Scan Unity or Unreal project assets, generate a naming/classification plan, then apply collision-safe native moves with undo support.

Instructions

Automatically name/classify project assets through native Unity/UE moves; supports undo.

scan: inventory Assets or /Game, optionally one subfolder; poll get_task_status. plan: use scan_id equal to the completed scan request_id. settings: destination, rename (bool), group_by ('type' or 'source'), exclude (project paths), overrides ({old_path:semantic_name}), rules ({kind:{folder,prefix}}). inspect: paginated exact plan; history: recent plans. apply/undo: use the saved plan_id then poll. Applies collision-resolved names, verifies stale candidates, preserves GUID/native references and records inverse moves. Native files are saved; unrelated scene edits are not rolled back. Protected folders, scripts, scenes/data/unknown types stay in place with reasons. Unreal keeps required redirectors. Code/config string paths are not rewritten; exclude those resources. No model provider, visual AI guessing or paid calls.

Input Schema

NameRequiredDescriptionDefault
modeNoscan
limitNo
scopeNo
offsetNo
plan_idNo
scan_idNo
settingsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.8.0

TDQS

A4.3/5.0
Behavior5/5

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

With no annotations, the description carries the full burden and delivers richly: it discloses that it verifies stale candidates, preserves GUID/native references, records inverse moves, saves native files yet does not roll back unrelated scene edits, leaves protected/scripts/scenes/data in place with reasons, keeps Unreal redirectors, and does not rewrite code/config paths. It even clarifies security/cost behavior ('No model provider, visual AI guessing or paid calls' and 'excluding sensitive data').

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?

Dense but well-organized, front-loading the core purpose then a mode-by-mode breakdown. Each sentence adds distinct operational or behavioral details. Slightly long and run-on in places, but no filler.

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

Completeness5/5

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

Complete for a multi-mode, mutating asset-organization tool with no output schema. The description covers the full lifecycle (scan→plan→inspect→apply→undo), safety semantics, exclusions, and cost/behavior constraints. Nothing critical to correct invocation is missing.

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 0%, so the description must compensate. It explains mode values (scan, plan, settings, inspect, history, apply/undo), the settings sub-object (destination, rename bool, group_by 'type'/'source', exclude, overrides, rules), plus the scan_id/plan_id relationship, providing substantial meaning beyond the bare schema. It could be clearer on some top-level params like limit/offset/scope.

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?

States a specific verb/resource: 'Automatically name/classify project assets through native Unity/UE moves; supports undo.' This clearly distinguishes it from siblings like search_project_assets or tag_project_asset. It does not explicitly name a sibling alternative, preventing a 5.

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 mode-by-mode walkthrough (scan, plan, settings, inspect, history, apply/undo) gives clear sequential usage context and specific flow instructions like 'plan: use scan_id equal to the completed scan request_id'. However it lacks explicit when-not-to-use guidance or named alternatives.

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