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Save Draft

capcut_save_draft
Idempotent

Saves a video draft to a folder for import into CapCut, finalizing the draft for use in editing.

Instructions

Save the draft to a file that can be imported into CapCut.

This tool finalizes the draft and generates a folder that can be copied to the CapCut drafts directory.

Args:

  • draft_id (string): The draft ID to save

  • response_format ('markdown' | 'json'): Output format

Returns: { "draft_url": string, // Path to the saved draft folder "status": "saved" }

The draft folder starts with "dfd_" and should be copied to:

  • Windows: C:\Users<username>\AppData\Local\CapCut\User Data\Projects\Draft Content

  • macOS: ~/Library/Containers/com.lemon.lvpro/Data/Documents/JianyingPro/User Data/Projects/Draft Content

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
draft_idYesThe ID of the draft to save
response_formatNoOutput format: 'markdown' for human-readable or 'json' for machine-readablemarkdown
Behavior4/5

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

Annotations indicate idempotentHint=true and destructiveHint=false. The description adds that the tool 'finalizes the draft' and provides specific path details for the saved folder, which clarifies the output location and naming convention ('dfd_'). No contradictions with annotations.

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?

The description is well-structured with a brief overview, then parameters, return format, and path details. It could be slightly more concise by removing the OS-specific paths, but it remains clear and informative.

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?

Given the tool's simplicity (2 parameters, no output schema), the description fully covers what the tool does, what it returns, and how to use the output. It also provides context about the folder name and installation paths, making it self-contained.

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%, and the description repeats the parameters without adding new semantic constraints or details beyond the schema. It lists them but does not explain allowed values or relationships (e.g., 'draft_id must be an existing draft').

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?

The description clearly states the verb 'save' and the resource 'draft' and explains that the output is a folder for CapCut import. It distinguishes from siblings like capcut_add_audio or capcut_create_draft, which have different purposes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains what the tool does but does not explicitly state when to use it over alternatives or when not to use it. The context implies it is used after creating a draft, but no exclusion criteria or alternative tools are mentioned.

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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