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ssyubix-pixelart-mcp

pixelart_suggest_tile_size

Read-onlyIdempotent

Suggests an optimal pixel size for a single tile in a pixel art game. Uses object category or screen resolution to determine tile dimensions, ensuring even division of the screen.

Instructions

Suggest an ideal size in pixels for ONE tile -- NOT a full tilemap/level image.

Uses a 16-pixel-per-unit (PPU) base-grid convention by default. If category is given (small_prop, character, large_character, structure, large_structure) it takes priority. Otherwise, if a target screen resolution is given, picks a PPU that divides the screen evenly. Falls back to a 16x16 default.

IMPORTANT: the result is one tile's size. A playable tilemap/level is a grid of MANY tiles at this size, not a single canvas this size -- call pixelart_suggest_tilemap_layout next to work out the grid, then pixelart_create_tileset to build it. Never export a single tile-sized canvas as if it were the whole tilemap.

Args: params: category, screen_width, screen_height (all optional). Returns: JSON string: {"tile_width", "tile_height", "ppu", "reasoning", "note"}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Annotations indicate readOnly, idempotent, non-destructive. Description adds default PPU, priority logic when category given, and fallback to 16x16. Describes return format. No contradiction.

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?

Well-structured: purpose first, then logic with bullet points, important warning, then args and returns. Every sentence adds value, no fluff.

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

Completeness5/5

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

Covers all relevant context: default PPU, priority logic, screen resolution fallback, return format (JSON with fields), and links to related tools for next steps. Complete for the tool's complexity.

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

Parameters5/5

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

Schema has parameter descriptions, but the tool description explains the decision logic (category takes priority, screen size fallback) that adds meaning beyond the schema, compensating for the 0% coverage metric.

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 states it suggests a pixel size for ONE tile, distinguishing from a full tilemap/level. It differentiates from sibling tools like pixelart_suggest_tilemap_layout and pixelart_create_tileset by specifying it is a single tile only.

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

Usage Guidelines5/5

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

Provides explicit when-to-use (suggest tile size) and when-not (never export a single tile-sized canvas as whole tilemap). Suggests next steps: pixelart_suggest_tilemap_layout and pixelart_create_tileset.

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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