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get_skeletal_mesh_lod_info

Read-onlyIdempotent

Retrieve per-LOD build settings, screen size, material map entries, and CPU access for a skeletal mesh to inspect or validate its level-of-detail configuration.

Instructions

Get per-LOD build settings and screen size for a skeletal mesh.

Returns: { lod_index: int, screen_size: float, num_material_map_entries: int, allow_cpu_access: bool, build_settings: {...} }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lod_indexNoLOD index to query (default 0)
skeletal_mesh_pathYesContent path to the skeletal mesh asset

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds the return shape (lod_index, screen_size, num_material_map_entries, allow_cpu_access, build_settings), which is useful because no output schema exists, but says nothing about missing-LOD behavior, errors, or defaults beyond the schema's 'default 0'.

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 sentences, front-loaded with the purpose, followed by a compact enumeration of returned fields. Efficient and free of filler, though the braces notation is a touch raw.

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?

With no output schema, the inline return-shape listing is exactly the compensation needed, and parameters are covered by the schema. For a simple read tool with full annotation coverage, this is close to complete; only edge-case behavior is unstated.

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 description coverage is 100%, so both parameters (skeletal_mesh_path, lod_index with its default) are already documented in the schema. The description only implies that a LOD index is queried and adds no syntax or format detail beyond that baseline.

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: retrieve per-LOD build settings and screen size for a skeletal mesh. An agent can distinguish it from the many set_skeletal_mesh_lod_* and add/remove_skeletal_mesh_lod siblings, though it does not name any sibling explicitly to sharpen the contrast.

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?

It is a getter, so usage is somewhat implied, but there is no explicit statement of when to call it versus the sibling LOD readers (e.g., get_skeletal_mesh_info, get_asset_lod_settings) or any prerequisites such as requiring an existing LOD index. No when/when-not guidance is given.

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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