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genart-dev

genart-mcp

by genart-dev

design_apply_halftone

Adds a halftone filter layer with dot, line, or diamond patterns to generative artwork, letting you control dot size, angle, colors, and intensity.

Instructions

Add a halftone filter layer (dot, line, or diamond pattern).

Input Schema

NameRequiredDescriptionDefault
angleNoRotation angle 0–180 degrees (default: 45).
bgColorNoBackground color hex (default: "#ffffff").
dotSizeNoDot/cell size 2–30 px (default: 6).
patternNoPattern type (default: "dot").
dotColorNoDot color hex (default: "#000000").
intensityNoEffect intensity 0–1 (default: 1.0).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only implies a write operation by saying 'Add' and does not explain side effects, layer placement, reversibility, permissions, or how the new filter interacts with existing layers.

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 front-loaded sentence with no filler. It communicates the core action and pattern options efficiently.

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?

For a six-parameter filter tool with no annotations and no output schema, the description is too minimal. The schema covers parameter details well, but the description provides no usage context or behavioral information about what happens when the layer is added.

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 all six parameters already have descriptions, ranges, and defaults in the schema. The description only repeats the pattern enum values and adds no additional meaning beyond what the schema provides; the baseline of 3 applies.

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 states a specific verb and resource: it adds a halftone filter layer, and it names the available pattern variants. It is clearly distinct from unrelated siblings, though it does not explicitly differentiate itself from nearby filter tools such as design_apply_dither or design_apply_grain.

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?

The description gives no guidance on when to use this tool, when not to use it, or which sibling filter to choose instead. The implied use case is clear from the name, but no contextual or prerequisite information is provided.

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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