Magic Hour

by ai.magichour.mcp

Overview Discussions Admin

Get image details

image_projects_retrieve_details

Read-only

Check the progress of a image project. The downloads field is populated after a successful render.

Statuses

queued — waiting to start
rendering — in progress
complete — ready; see downloads
error — a failure occurred (see error)
canceled — user canceled
draft — not used

MCP guidance:

Use this after a create tool to poll job status. When status is complete, surface the downloads URLs to the user; if status is error, surface the error message.
Each downloads[n].url is already the full signed download URL. Use it exactly as returned. Do not shorten it, strip query parameters, or append expires_at onto the URL string.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`id`	Yes	Unique ID of the image project. This value is returned by all of the POST APIs that create an image.

Output Schema

TableJSON Schema

Name	Required	Description
`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.
`name`	Yes	The name of the image.
`type`	Yes	The type of the image project. Possible values are FACE_EDITOR, AI_IMAGE_EDITOR, GENERATIVE_FILL, AI_SELFIE, AI_HEADSHOT, AI_INFLUENCER, AI_IMAGE, AI_MEME, CLOTHES_CHANGER, BACKGROUND_REMOVER, FACE_SWAP, IMAGE_UPSCALER, IMAGE_ENHANCER, AI_GIF, QR_CODE, PHOTO_EDITOR, PHOTO_COLORIZER, IMAGE_COLOR_GRADER, HEAD_SWAP, BODY_SWAP, STORYBOARD, IMAGE_EXPANDER
`error`	Yes	In the case of an error, this object will contain the error encountered during video render
`status`	Yes	The status of the image. - `draft` - the project was created but has not been submitted for rendering - `queued` - the job is waiting for an available server - `rendering` - the job is being processed; the `image.started` webhook event fires when rendering begins - `complete` - the job finished successfully; fires `image.completed` - `error` - the job failed during processing; fires `image.errored` - `canceled` - the job was manually canceled (for example from the Magic Hour web app) Note: `rendering`, `complete`, and `error` have matching webhook events; `canceled` does not - a canceled job emits no webhook event, so poll this endpoint to detect cancellation.
`enabled`	Yes	Whether this resource is active. If false, it is deleted.
`downloads`	Yes
`created_at`	Yes
`image_count`	Yes	Number of images generated
`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 18, 2026

changedOutput schema / properties / type / description

Previous value: -"The type of the image project. Possible values are FACE_EDITOR, AI_IMAGE_EDITOR, AI_SELFIE, AI_HEADSHOT, AI_INFLUENCER, AI_IMAGE, AI_MEME, CLOTHES_CHANGER, BACKGROUND_REMOVER, FACE_SWAP, IMAGE_UPSCALER, IMAGE_ENHANCER, AI_GIF, QR_CODE, PHOTO_EDITOR, PHOTO_COLORIZER, IMAGE_COLOR_GRADER, HEAD_SWAP, BODY_SWAP, STORYBOARD, IMAGE_EXPANDER"New value: +"The type of the image project. Possible values are FACE_EDITOR, AI_IMAGE_EDITOR, GENERATIVE_FILL, AI_SELFIE, AI_HEADSHOT, AI_INFLUENCER, AI_IMAGE, AI_MEME, CLOTHES_CHANGER, BACKGROUND_REMOVER, FACE_SWAP, IMAGE_UPSCALER, IMAGE_ENHANCER, AI_GIF, QR_CODE, PHOTO_EDITOR, PHOTO_COLORIZER, IMAGE_COLOR_GRADER, HEAD_SWAP, BODY_SWAP, STORYBOARD, IMAGE_EXPANDER"

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"
+}

Changed1 schema field changedSep 5, 2026

changedOutput schema / properties / type / description

Previous value: -"The type of the image project. Possible values are FACE_EDITOR, AI_IMAGE_EDITOR, AI_SELFIE, AI_HEADSHOT, AI_INFLUENCER, AI_IMAGE, AI_MEME, CLOTHES_CHANGER, BACKGROUND_REMOVER, FACE_SWAP, IMAGE_UPSCALER, IMAGE_ENHANCER, AI_GIF, QR_CODE, PHOTO_EDITOR, PHOTO_COLORIZER, HEAD_SWAP, BODY_SWAP, STORYBOARD, IMAGE_EXPANDER"New value: +"The type of the image project. Possible values are FACE_EDITOR, AI_IMAGE_EDITOR, AI_SELFIE, AI_HEADSHOT, AI_INFLUENCER, AI_IMAGE, AI_MEME, CLOTHES_CHANGER, BACKGROUND_REMOVER, FACE_SWAP, IMAGE_UPSCALER, IMAGE_ENHANCER, AI_GIF, QR_CODE, PHOTO_EDITOR, PHOTO_COLORIZER, IMAGE_COLOR_GRADER, HEAD_SWAP, BODY_SWAP, STORYBOARD, IMAGE_EXPANDER"

First observedSep 1, 2026

TDQS

A4.1/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety needs no restating. The description adds real value beyond them: the full status vocabulary, the fact that `downloads` is only populated after a successful render, and the warning not to alter the signed download URL.

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?

Front-loaded with the core action, then a scannable status list and a short guidance block. Every line carries information an agent needs; nothing is padding.

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?

For a read-only status-poll tool with a full output schema, annotations and a single documented parameter, the description covers the remaining unknowns: what each status means and how to treat the returned download URLs. Nothing needed to call it correctly is missing.

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 the single `id` parameter is fully documented in the schema, including where the value comes from. The description adds no syntax or format detail for the parameter, which is the expected baseline when the schema does the work.

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 opens with a specific verb+resource ('Check the progress of a image project') and enumerates the status lifecycle, so an agent knows exactly what is returned. It does not, however, explicitly contrast itself with the sibling wait_for_image_project, which is the natural near-duplicate for polling.

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?

It gives clear context ('Use this after a create tool to poll job status') and conditional next steps for the `complete` and `error` cases. It never names wait_for_image_project as the blocking alternative or states when-not to use this tool, so the routing guidance is incomplete.

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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