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MyImage2Life

Create print proof

create_proof

Makes the print-ready files and a mockup that shows exactly what will be printed. Returns a proof id.

Input Schema

NameRequiredDescriptionDefault
designYesDesign id (ont_...)
optionsNoOptions as {type: value} from get_product, e.g. {'type_garment_size': 'l', 'colours_garment': 'Black'}
productYesProduct reference
languageNoLanguage of the user for text on the product (calendar months): nl, en, de, fr, esen
quantityNoNumber of copies

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, openWorldHint=false and idempotentHint=false, so the safety profile is covered. The description adds genuinely new context by saying what is produced (print-ready files and a visual mockup) and what comes back (a proof id), but omits that repeated calls create new proofs and says nothing about cost or latency.

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?

Two short sentences, outcome stated first and the return value second. There is no filler and nothing is buried.

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

Completeness3/5

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

The core output is explained and the schema is fully self-documenting, which carries most of the load. For a non-idempotent creation tool it should still mention prerequisites and the fact that each call yields a distinct new proof, which is the main behavioural gap.

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 coverage is 100%, with every parameter including options, language enum list and quantity bounds documented in the schema itself. The description adds no parameter meaning beyond the proof id return, so the baseline 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?

Specific verb+resource: creates print-ready files plus a mockup and returns a proof id, which cleanly separates it from create_design or place_order. It stops short of naming a sibling or stating where in the workflow it sits, so an agent must infer it comes after design creation.

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?

No when-to-use, when-not-to-use, or prerequisite guidance at all. It never says a design id from create_design and options from get_product are required first, nor how this differs from just viewing a design.

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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