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AutoPrint

Start a Print design

start_design

Prepares existing artwork or photos for printing on wall art, apparel, or personalized gifts. Requires artwork_url, a public HTTPS image link, and idea, the desired printed product, size, or style. Imports the supplied image without generating or changing artwork. Recommends a product and returns the artwork with a studio link to preview the product, choose a size, and order on AutoPrint's website. The tool does not generate images, place orders, or take payment.

Starts the work and returns an id. It usually takes under a minute.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ideaYesThe desired printed product, size, or style, such as 'a large framed print'. Describes the print, not new artwork to generate.
artwork_urlYesA public HTTPS link directly to an existing PNG, JPEG, or WebP image under 25 MB. AutoPrint uses this artwork without generating a replacement.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already flag non-read-only, non-idempotent, open-world behavior, and the description adds real context beyond them: it imports the image without modifying it, explicitly declines to generate images, place orders, or take payment, and notes the call usually finishes under a minute. The duplicate non-generation statements cost a little, but the non-goals and latency hint are genuinely useful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose, then parameters, non-goals, and return value in a logical order. It wastes a sentence by saying the import doesn't generate or change artwork and then repeating 'does not generate images,' but the structure is otherwise tight.

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?

For a two-parameter, non-nested tool with no output schema, the description covers the return (an id plus a studio preview link) and the boundaries of the operation. It is complete enough to call correctly, with only the check_design follow-up path left unexplained.

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% and both parameters are fully documented in the schema (HTTPS link, PNG/JPEG/WebP under 25 MB; idea describes the print). The description largely restates those facts, adding no syntax or format detail beyond the schema, so 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 ('Prepares existing artwork or photos for printing on wall art, apparel, or personalized gifts') and clarifies it imports rather than generates artwork. It is clear, but it never names or contrasts with the sibling check_design, so sibling differentiation is left implicit.

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: it requires an existing public image URL plus a product/idea, and it is positioned as the entry point that 'starts the work and returns an id.' However, there is no explicit when-to-use versus check_design, nor any stated prerequisite for invoking the follow-up check.

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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