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Glama

rupa_adegan_lingkungan

Destructive

Adjust 3D scene lighting and atmosphere: set gradient sky, ACES exposure, shadows, and fog to achieve correct brightness without damaging reflections or shadows.

Instructions

Langit gradien, paparan (tone mapping ACES), bayangan, dan kabut. Paparan adalah pengatur terang yang BENAR di alur kerja PBR — menaikkan kekuatan cahaya untuk membuat gambar lebih terang akan merusak pantulan dan bayangannya.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ruangNoNama ruang kerja; tiap ruang punya adegan.blend sendiri.utama
paparanNo
bayanganNo
kabut_jauhNo
kabut_matiNo
kabut_dekatNo
kabut_warnaNo
langit_atasNo
langit_bawahNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.6.2

TDQS

C2.9/5.0
Behavior2/5

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

Annotations mark the tool as destructiveHint=true and readOnlyHint=false, but the description does not disclose that the tool mutates the scene or that existing environment settings may be replaced. It adds a PBR-related warning about exposure, but not enough behavioral context for a destructive operation.

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 description is short and front-loads the main feature categories in the first sentence. The second sentence adds useful PBR context without redundancy, though the noun-phrase style makes it slightly less direct.

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

Completeness2/5

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

With 9 parameters, no output schema, minimal schema descriptions, and a destructive annotation, the description is not sufficient. It does not state the tool's side effects, the meaning of most parameters, or what the agent should expect after invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 11%, so the description must compensate, but it only groups parameters into broad categories like sky, exposure, shadows, and fog. It does not explain the meaning of kabut_jauh, kabut_mati, kabut_dekat, kabut_warna, bayangan, or the sky color parameters in a way that helps an agent choose values.

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?

The description identifies the tool's resource as the scene environment and lists its specific areas: gradient sky, exposure (ACES), shadows, and fog. It is clear and useful, though it does not use an explicit verb like 'mengatur' and does not explicitly differentiate this from sibling tools such as rupa_adegan_cahaya or rupa_adegan_lihat.

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

Usage Guidelines3/5

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

The description provides domain guidance that exposure is the correct brightness control in a PBR workflow and that increasing light strength would ruin reflections and shadows. However, it does not explicitly state when to use this tool versus alternatives or when not to use it.

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