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create_project_overview

Generate a project overview for Unreal Engine projects, summarizing assets, actors, blueprints, materials, textures, audio, worlds, and statistics in one result.

Instructions

Create a comprehensive overview of the entire project including assets, actors, materials, and statistics.

Returns: { project_info: { project_name, engine_version, platform, generation_date, is_editor }, asset_types: [{ asset_type, count }], blueprint_info: { total_blueprints, normal_blueprints, macro_blueprints }, world_info: { world_name, net_mode, actor_count, level_count }, actor_types: [{ actor_type, count }], material_info: { total_materials }, texture_info: { total_textures }, audio_info: { total_audio_assets }, statistics: { total_assets, total_blueprints, total_materials, total_textures, total_audio_assets, total_actors } }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 declare readOnlyHint=false while the description frames this as producing a report that is merely 'returned', leaving it unclear whether an asset is persisted or the call just aggregates existing state. Beyond that ambiguity the description adds useful scope context. With annotations covering the safety profile, this partial clarification earns a 3.

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?

The purpose sentence is front-loaded and concise, and because no output schema exists, the Returns block is the only place the response shape is documented, so its size is justified. Minor verbosity in the nested stats fields, but nothing wasted.

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?

There is no output schema, and the description compensates by fully enumerating the returned structure, so an agent knows the shape of the result. The one remaining gap is whether the call has any side effect or persistence, which the readOnlyHint=false annotation hints at but the description never resolves.

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 tool takes zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. The schema fully covers the (empty) input contract.

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 (create) and resource (project overview), and enumerates exactly what the overview covers (assets, actors, materials, statistics). It is clear what it produces, but it does not distinguish itself from near-siblings like get_project_info or get_project_settings_value that also surface project-level 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 when-to-use or when-not-to-use guidance, and no mention of alternatives such as get_project_info, get_engine_info, or the many targeted asset/audit tools. The agent is given the content of the report but nothing about when this aggregation is preferable to narrower lookups.

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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