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magnific_images_variations

Generate image-variation grid. Modes: angles|demographics|expressions|age|storyboard|custom. Defaults: angles, 3x3, 1:1, 4k.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptNo
gridColsNo
gridRowsNo
resolutionNo
aspectRatioNo
variationModeNo
selectedAnglesNo
folderReferenceNo
selectedGendersNo
creationIdentifierYes
selectedEthnicitiesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior2/5

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

With all annotation hints false, the description carries the sole burden of behavioral disclosure. It reveals default grid size and resolution but nothing about side effects (e.g., credit usage, asynchronous generation), prerequisites (like requiring a creationIdentifier), or limitations of the varying modes. This minimal detail is insufficient for a generation tool.

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 well-structured sentence that front-loads the core purpose and then packs the optional mode list and defaults without wasted words. Every element adds value, achieving high information density.

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

Completeness1/5

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

The tool has 11 parameters, 0% schema coverage, no output schema, and no helpful annotations, yet the description is just one sentence. It omits essential context about the required creationIdentifier, how modes affect parameter usage, what selectedAngles/selectedGenders/selectedEthnicities contain, and what the return value looks like. This is inadequate for an agent to invoke the tool correctly.

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 0%, so the description must compensate for 11 undocumented parameters. It does add context for variationMode via the mode list and for gridCols/gridRows, aspectRatio, resolution via defaults. However, it completely omits meaning for required creationIdentifier, selectedAngles, selectedGenders, selectedEthnicities, and prompt, leaving these opaque.

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 opens with a specific verb+resource combination: 'Generate image-variation grid.' It immediately distinguishes this from sibling tools like magnific_images_generate or magnific_images_upscale by focusing on the 'variation grid' concept. The enumeration of modes (angles, demographics, etc.) further clarifies the tool's scope.

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 implies usage by listing modes and defaults but provides no explicit guidance on when to choose this over alternatives. 'Modes: angles|demographics|expressions|age|storyboard|custom' offers context but does not state exclusions or name alternative tools for other image manipulation tasks. This is clear context without explicit when-to-use/when-not-to-use direction.

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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