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Submit First Frame Video Task

submit_first_frame_video_task
Destructive

Starts one Fotor video generation task from a first-frame image. May consume existing Fotor credits. Returns a task ID without waiting for completion; use get_task to check its status once. This tool does not poll for completion. Repeating the request may create another task and consume additional credits. Do not automatically retry when the submission outcome is uncertain. This tool does not purchase credits or initiate a checkout flow.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "model_id": "<model_id>",
      "prompt": "<prompt>",
      "image_url": "<image_url>"
    },
    "name": "submit_first_frame_video_task"
  }
}

Input Schema

NameRequiredDescriptionDefault
promptYesDescribe the desired content, style and changes.
durationNoVideo duration in seconds from list_models; 0 uses default_duration.
model_idYesModel ID from list_models; inspect its supported mode and parameters first.
image_urlYesAccessible HTTPS image URL, such as file_url after upload.
resolutionNoNative output resolution from list_models; auto uses the model default.auto
aspect_ratioNoExplicit output aspect ratio supported by the model, such as 16:9; auto is not accepted.auto
audio_enableNoGenerate native video audio; requires native_audio support. Independent of reference audio.

Output Schema

NameRequiredDescriptionDefault
statusNoSubmission accepted; generation is not yet confirmed complete.submitted
task_idYesFotor task ID for get_task.
model_idYesModel ID used for this task.
media_typeYesGenerated media category.
credits_incrementNoReported task credit cost; not an additional charge on each query. Null if unavailable.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed12 schema fields changed
    • addedInput schema / properties / aspect_ratio / description
      Added value: +"Explicit output aspect ratio supported by the model, such as 16:9; auto is not accepted."
    • addedInput schema / properties / audio_enable / description
      Added value: +"Generate native video audio; requires native_audio support. Independent of reference audio."
    • addedInput schema / properties / duration / description
      Added value: +"Video duration in seconds from list_models; 0 uses default_duration."
    • addedInput schema / properties / image_url / description
      Added value: +"Accessible HTTPS image URL, such as file_url after upload."
    • addedInput schema / properties / model_id / description
      Added value: +"Model ID from list_models; inspect its supported mode and parameters first."
    • addedInput schema / properties / prompt / description
      Added value: +"Describe the desired content, style and changes."
    • addedInput schema / properties / resolution / description
      Added value: +"Native output resolution from list_models; auto uses the model default."
    • addedOutput schema / properties / credits_increment / description
      Added value: +"Reported task credit cost; not an additional charge on each query. Null if unavailable."
    • addedOutput schema / properties / media_type / description
      Added value: +"Generated media category."
    • addedOutput schema / properties / model_id / description
      Added value: +"Model ID used for this task."
    • addedOutput schema / properties / status / description
      Added value: +"Submission accepted; generation is not yet confirmed complete."
    • addedOutput schema / properties / task_id / description
      Added value: +"Fotor task ID for get_task."
  2. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Adds real context beyond the annotations: credits may be consumed, the call returns immediately without polling, repeating creates a duplicate task and extra cost, and it never initiates checkout. This is exactly the cost/duplication risk an agent needs for a destructive, non-idempotent submission.

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-loads purpose and cost risk, and every clause carries operational information. Slight redundancy: 'Returns a task ID without waiting for completion' is repeated by 'This tool does not poll for completion.'

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 covers the return value, and the description covers the remaining unknowns: async semantics, credit cost, duplicate-submission risk, and scope boundaries (no purchase flow). Nothing needed to call it safely 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%, with each parameter documented in the schema (model_id from list_models, duration 0 = default, aspect_ratio cannot be auto). The description adds no parameter-level meaning beyond that, so the baseline 3 applies.

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?

States a specific verb and resource (starts one Fotor video generation task) and pins the input mode (from a first-frame image), which distinguishes it from submit_text_to_video_task and submit_first_last_frame_video_task without opening either 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?

Explicitly routes status checking to get_task and rules out automatic retry and credit purchase. It does not name the sibling submit tools it is an alternative to, so the agent must infer the first-frame vs first-last-frame choice from the wording alone.

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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