Skip to main content
Glama

AI Talking Photo

ai_talking_photo_create_talking_photo

Create a talking photo from an image and audio or text input.

MCP guidance:

  • This starts an async video generation job and returns id plus credits_charged immediately. If the user wants the finished result, call the wait_for_video_project helper with the returned id, or poll the matching GET /v1/video-projects/{id} endpoint until status is complete, error, or canceled. Completed projects include downloads with direct URLs. The custom wait helper also returns exact_download_urls separately from expiration metadata.

  • For *_file_path values, prefer an existing Magic Hour file path or a file_path returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned file_path.

Use only with the user's own likeness or content they are authorized to use. Do not use for impersonation, deception, sexual content, or content involving minors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoGive your image a custom name for easy identification.Talking Photo - dateTime
styleNoAttributes used to dictate the style of the output
assetsYesProvide the assets for creating a talking photo
end_secondsYesThe end time of the input audio in seconds. Maximum clip length depends on style.generation_mode: realistic 300s, prompted 45s.
start_secondsYesThe start time of the input audio in seconds. Maximum clip length depends on style.generation_mode: realistic 300s, prompted 45s.
max_resolutionNoConstrains the larger dimension (height or width) of the output video. Allows you to set a lower resolution than your plan's maximum if desired. The value is capped by your plan's max resolution.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesUnique ID of the video. Use it with the [Get video Project API](https://docs.magichour.ai/api-reference/video-projects/get-video-details) to fetch status and downloads.
credits_chargedYesThe amount of credits deducted from your account to generate the video. If the status is not 'complete', this value is an estimate and may be adjusted upon completion based on the actual FPS of the output video. If video generation fails, credits will be refunded, and this field will be updated to include the refund.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • 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"
      -}
  2. Changed1 schema field changed
    • 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"
      +}
  3. Changed2 schema fields changed
    • changedInput schema / properties / end_seconds / description
      Previous value: -"The end time of the input audio in seconds. Maximum clip length depends on style.generation_mode: realistic 180s, prompted 45s."New value: +"The end time of the input audio in seconds. Maximum clip length depends on style.generation_mode: realistic 300s, prompted 45s."
    • changedInput schema / properties / start_seconds / description
      Previous value: -"The start time of the input audio in seconds. Maximum clip length depends on style.generation_mode: realistic 180s, prompted 45s."New value: +"The start time of the input audio in seconds. Maximum clip length depends on style.generation_mode: realistic 300s, prompted 45s."
  4. First observed

TDQS

A4.2/5.0
Behavior5/5

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

Adds substantial behavior beyond the annotations: the call returns immediately with id and credits_charged, terminal statuses are complete/error/canceled, completed projects carry downloads URLs, and the wait helper exposes exact_download_urls separately from expiration metadata. It also discloses the file-path/upload-flow requirement and hotlink failure mode.

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 one-line purpose followed by a clearly bulleted 'MCP guidance' block; every bullet carries actionable information. Slightly long, and the 'or text input' claim is loose given the required-asset 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?

For an async, multi-asset generation tool with an output schema, the description covers the lifecycle, polling path, download metadata, and content restrictions. The only real gap is the unexplained text-input mention, which could mislead an agent into expecting a text-only invocation path.

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?

Schema coverage is already 100%, so the baseline is 3, but the description meaningfully extends it by explaining what a valid *_file_path is, that the presigned upload flow is preferred, and that unstable public URLs can fail. It adds no guidance on start_seconds/end_seconds or max_resolution beyond the schema.

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?

States a specific verb and resource ('Create a talking photo from an image and audio...'). However the phrase 'or text input' is not backed by the schema, which requires both image_file_path and audio_file_path, and the entry point is not explicitly distinguished from close siblings like lip_sync_create_video or audio_to_video_create_video.

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?

Gives clear operating context: the job is async, how to obtain the finished result (wait_for_video_project or polling GET /v1/video-projects/{id}), and the acceptable content policy. It stops short of naming when a different sibling (e.g. lip_sync_create_video) would be the better choice.

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.

Resources