Skip to main content
Glama

Pixel-art converter

pixel_art

Turn any image into crisp pixel art for games: pick the pixel size and colour count, and scale the result back up with sharp edges. Cost: 1 credit flat. Long jobs return a job_id; poll it with get_job. Result links expire in 1 hour.

Input Schema

NameRequiredDescriptionDefault
urlYesImage: public http(s) link
colorsNo
upscaleNoScale the final picture up by this whole number
pixel_widthNoWidth of the pixel grid. Smaller is chunkier

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the whole burden and does disclose real behavior: a flat 1-credit cost, asynchronous job_id return for long jobs with the poll path named, and a 1-hour expiry on result links. It stops short of saying anything about source-image retention, auth requirements, or what the synchronous non-job response looks like.

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?

Three short sentences, front-loaded with purpose and followed by cost, async behavior, and expiry. Every clause carries information and nothing is repeated from the schema.

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?

With no output schema, the description correctly covers the return contract for the long-job path (job_id, poll with get_job, expiring links), which is the main thing an agent needs. It omits what a short job returns directly and any constraints on the input URL beyond the schema's 'public http(s) link'.

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?

The description maps conceptual terms to parameters ('pixel size' -> pixel_width, 'colour count' -> colors, 'scale the result back up' -> upscale) and clarifies the intended effect (chunkier grid, sharp edges). colors lacks a schema description, so this framing adds meaning beyond the structured fields, though it gives no numeric ranges or format detail.

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 gives a specific verb and resource ('Turn any image into crisp pixel art for games') plus the controllable knobs, so an agent knows exactly what it produces. It does not name or contrast with sibling media tools such as sprite_sheet, make_thumbnails, or compress_media, so it falls short of full sibling differentiation.

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?

Usage is implied by 'for games' and the parameter framing, but there is no explicit when-to-use/when-not-to-use guidance or statement of which sibling to pick instead for sprites, thumbnails, or generic conversion. The get_job polling hint is operational rather than a usage rule.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.