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magnific_images_relight

AI relight. 1-4 lights with azimuth/elevation enums, type neutral|gel, intensity 1-10. Gel uses hex color.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lightsYes
numImagesNo
resolutionNo
folderReferenceNo
creationIdentifierYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior2/5

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

The annotations provide all-false hints, so the description carries the full behavioral burden, but it only lists input constraints. It does not disclose whether the tool creates a new image, mutates an existing one, is asynchronous, requires permissions, or produces any other side effects.

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 very concise: three short sentences, front-loaded with the core operation, and every word adds value. There is no padding or repetition.

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 that output schema is absent, annotations do not describe behavior, and several parameters are undocumented by the description, a 5-parameter relight tool is not fully specified. The description covers the main light configuration well but lacks the broader contextual details an agent needs for safe and complete invocation.

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?

With 0% schema coverage, the description adds useful semantics by specifying 1-4 lights, neutral/gel types, intensity 1-10, and gel hex color. However, it leaves top-level parameters like numImages, resolution, folderReference, and creationIdentifier unexplained, and 'azimuth/elevation enums' is ambiguous since the schema defines them as numbers.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies the operation as 'AI relight' and describes the specific lighting configurations it supports. This distinguishes it from sibling image tools such as resize, crop, and upscale.

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?

It is implied that this tool is for relighting an image, but the description does not explicitly state when to use it over alternatives or when it is not appropriate. There is no mention of exclusion criteria or comparisons to other image modification tools.

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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