Skip to main content
Glama

pixel_draw_pixels

DestructiveIdempotent

Batch draw pixels onto a PNG canvas by specifying coordinates and colors. Each point can have its own color or use a batch default. Use 'transparent' to erase pixels. Returns updated canvas and optional preview.

Instructions

Set individual pixels on a canvas in one batch.

Each point may carry its own color; points without one use the batch default color. Drawing 'transparent' erases pixels. Out-of-bounds points are skipped and counted, not fatal. Batch as many points per call as possible — one call per sprite region, not one call per pixel.

Returns: JSON {"canvas", "pixels_drawn", "skipped_out_of_bounds"?}; plus a rendered image when preview=true. On failure returns "Error: ...".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes
Behavior5/5

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

The description adds substantial behavioral details beyond annotations: out-of-bounds handling, transparent color erasing, batch default color, return JSON structure, and preview behavior. It aligns with annotations (destructive, idempotent) and adds context.

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 efficient: first sentence states purpose, then details. It uses bullet points for return format and examples, no redundant fluff. Every sentence adds value.

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

Completeness4/5

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

Given the tool's complexity (4 parameters, batch behavior, preview, error handling), the description covers key behaviors. It lacks explicit mention of output schema (but none exists) and path format, but schema compensates. Sufficient for an AI agent.

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

Parameters4/5

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

While the schema provides descriptions for each parameter, the tool description adds context: default color behavior, transparent as eraser, out-of-bounds skipped, and preview returns image. It doesn't cover every parameter (e.g., path format) but adds meaningful explanations.

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 'Set individual pixels on a canvas in one batch' with a specific verb ('Set') and resource ('pixels on a canvas'). It distinguishes this tool from siblings like pixel_draw_line and pixel_draw_rect by focusing on individual pixel manipulation in batch operations.

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

Usage Guidelines4/5

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

The description advises batching multiple points per call ('one call per sprite region, not one call per pixel'), providing clear usage guidance. It also mentions that out-of-bounds points are skipped, but does not explicitly state when to use alternatives or when not to use this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/light-vp/pixelart-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server