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Set Fill Light Color

set_fill_light_color

Adjust the fill light color in 3D scenes using hex codes or color names to modify lighting effects and enhance visual presentation.

Instructions

Set the color of the fill light

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
colorYesHex color code (e.g., "#ff0000") or Apple crayon color name (e.g., "maraschino", "turquoise", "lemon"). Available colors: licorice, lead, tungsten, iron, steel, tin, nickel, aluminum, magnesium, silver, mercury, snow, cayenne, mocha, asparagus, fern, clover, moss, teal, ocean, midnight, eggplant, plum, maroon, maraschino, tangerine, lemon, lime, spring, sea foam, turquoise, aqua, blueberry, grape, magenta, strawberry, salmon, cantaloupe, banana, honeydew, flora, spindrift, ice, sky, orchid, lavender, bubblegum, carnation
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the tool sets a color, implying a mutation, but lacks details on behavioral traits such as whether the change is immediate, reversible, requires specific permissions, or affects other settings. This is inadequate for a mutation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with no wasted words, making it highly concise and front-loaded. It directly communicates the tool's purpose without unnecessary elaboration.

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?

Given the tool is a mutation (setting a color) with no annotations and no output schema, the description is incomplete. It lacks information on behavioral context, such as what happens after setting the color, error conditions, or dependencies, leaving significant gaps for an AI agent to understand its full usage.

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%, with the parameter 'color' fully documented in the schema including examples and available options. The description does not add any meaning beyond the schema, so it meets the baseline of 3 where the schema does the heavy lifting.

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 clearly states the action ('Set') and target resource ('color of the fill light'), making the purpose evident. However, it does not explicitly differentiate from sibling tools like 'set_key_light_color' or 'change_model_color', which would require mentioning the specific light type or context to avoid confusion.

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?

No guidance is provided on when to use this tool versus alternatives. For example, it does not mention when to choose this over 'set_key_light_color' or other color-setting tools, nor does it specify prerequisites like needing the fill light to be active or available.

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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