Magic Hour

AI QR Code Generator

ai_qr_code_generator_create_image

MCP guidance:

Starts an async image job; returns id and credits_charged. For finished results, call wait_for_image_project with that id or poll GET /v1/image-projects/{id} until complete, error, or canceled. Results include downloads; wait helpers add exact_download_urls. Preserve signed URLs and query parameters; never append expiration metadata.

Create an AI QR code. Each QR code costs 0 credits.

Input Schema

Name	Required	Description	Default
`name`	No	Give your image a custom name for easy identification.	Qr Code - dateTime
`style`	Yes
`content`	Yes	The content of the QR code.

Output Schema

Name	Required	Description	Default
`id`	Yes	Unique ID of the image. Use it with the [Get image Project API](https://docs.magichour.ai/api-reference/image-projects/get-image-details) to fetch status and downloads.
`credits_charged`	Yes	The amount of credits deducted from your account to generate the image. We charge credits right when the request is made. If an error occurred while generating the image(s), credits will be refunded and this field will be updated to include the refund.

Schema Changelog

Changes observed during successful MCP inspections.

Changed1 schema field changedSep 24, 2026

removedInput schema / properties / context

Removed value: -{
-  "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
-  "type": "string"
-}

Changed1 schema field changedSep 11, 2026

addedInput schema / properties / context

Added value: +{
+  "description": "Explain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include, repeat, paraphrase, or infer personal, sensitive, or identifying information from the user request or tool results, including names, emails, phone numbers, IPs, IDs, or credentials. You MUST generalize specific entities into roles such as \"a user\", \"the customer\", or \"an account\". Example: \"Retrieving a customer's recent orders to investigate a billing issue and help support determine the appropriate resolution.\"",
+  "type": "string"
+}

First observedSep 1, 2026

TDQS

A4.4/5.0

Behavior5/5

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

Beyond the annotations (which only give the safety/mutation profile), the description adds substantial non-obvious behavior: the call is asynchronous, it returns `id` and `credits_charged`, results carry `downloads`/`exact_download_urls`, and signed URLs with query params must be preserved. It even states the cost (0 credits). This is exactly the extra context the annotations cannot carry.

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?

Two tight blocks with no filler; the operational guidance is dense and earns its place. The ordering is slightly off, however, since the core purpose ("Create an AI QR code") is buried after the MCP workflow paragraph rather than front-loaded.

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?

An output schema exists so return values need not be re-explained, yet the description still covers the async workflow end-to-end (job creation, polling, terminal states, URL preservation). For a nested-parameter async tool this is sufficient for an agent to call it correctly.

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?

At 67% schema coverage the schema documents content, style.art_style, and name itself, so the baseline is a middling score. The description adds no parameter-level meaning (no guidance on `content` format for the QR payload or the nested `style` object), so it neither compensates for the missing coverage nor loses ground.

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?

"Create an AI QR code" states a specific verb and resource, and it cleanly distinguishes this tool from the many sibling create_image tools (meme, headshot, upscaler, etc.) that share the same service but produce different artifacts. An agent can select this tool from the name plus one sentence without opening the schema.

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 MCP guidance explicitly tells the agent this starts an async job and to use `wait_for_image_project` (a named sibling) or poll the image-projects endpoint until a terminal state. That is strong follow-up routing, but there is no explicit when-not or comparison against the other create_image siblings, keeping it below a 5.

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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