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Add Text to CapCut Draft

capcut_add_text

Add text overlays (titles, captions, lower-thirds) to a CapCut draft with styling for font, color, shadow, background, and multi-color segments. Confirms addition.

Instructions

Add a text element (title, caption, lower-third, etc.) to an existing draft's timeline.

Args:

  • draft_id (string, required): From capcut_create_draft.

  • text (string, required): The text content.

  • start/end (number, seconds): Time range the text is visible.

  • font, font_size, font_color: Basic styling.

  • shadow_enabled/shadow_color/shadow_alpha: Drop shadow.

  • background_color/background_alpha/background_round_radius: Background panel behind the text.

  • text_styles: Array of {start, end, font_color} for multi-color segments within the same text block.

  • extra_params: Any additional VectCutAPI field not modeled above.

Returns: JSON confirming the text element was added, including which optional features were used.

Don't use when: you need burned-in subtitles from an SRT file — use capcut_add_subtitle instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endYesEnd time in seconds within the timeline.
fontNoFont family name (e.g. 'Source Han Sans').
textYesThe text content to display.
startNoStart time in seconds within the timeline.
draft_idYesThe draft_id returned by capcut_create_draft.
font_sizeNoFont size in points (default varies by backend, commonly ~48).
font_colorNoHex color for the text, e.g. '#FFFFFF'.
text_stylesNoPer-segment style overrides for multi-color/multi-style text within the same text block.
transform_xNoHorizontal position offset.
transform_yNoVertical position offset.
extra_paramsNoOptional passthrough for advanced/undocumented VectCutAPI fields not modeled explicitly above (e.g. nested transform/animation objects). Merged directly into the request body. Check the VectCutAPI example.py / API docs if you need a field that isn't listed here.
shadow_alphaNoShadow opacity, 0-1.
shadow_colorNoHex color for the shadow, e.g. '#000000'.
shadow_enabledNoWhether to render a drop shadow behind the text.
background_alphaNoBackground panel opacity, 0-1.
background_colorNoHex color for a background panel behind the text.
background_round_radiusNoCorner radius (px) for the background panel.
Behavior4/5

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

Annotations already indicate a write operation (readOnlyHint=false) and open-world behavior (openWorldHint=true). The description adds valuable behavioral context by explaining the return value (JSON confirming addition and used optional features) and clarifying that extra_params are merged into the request body. It does not contradict annotations, but could further disclose side effects or permission requirements; still, it goes beyond what annotations provide.

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?

The description is well-structured with a concise purpose sentence, a categorized bullet list of parameters, a return note, and an exclusion clause. Every section is relevant and easy to scan, with no redundant or wasted words.

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 complexity (17 parameters, nested objects, no output schema), the description covers the return value, parameter usage, prerequisite (draft_id from capcut_create_draft), and the alternative for subtitles. This is sufficient for an agent to invoke the tool correctly in most scenarios.

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 100%, so the baseline is 3. The description adds semantic grouping (basic styling, drop shadow, background panel) and explains extra_params as a passthrough for advanced VectCutAPI fields, enhancing the agent's understanding of how parameters relate. This goes beyond the schema alone, though not massively.

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 it adds a text element to an existing draft's timeline, with specific examples (title, caption, lower-third). It also distinguishes itself from the sibling subtitle tool via the 'Don't use when' clause, making its purpose unambiguous.

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

Usage Guidelines5/5

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

The description explicitly tells when NOT to use this tool (for burned-in subtitles from SRT) and directs the agent to capcut_add_subtitle instead. It also implies the prerequisite of an existing draft by referencing capcut_create_draft, which is clear contextual guidance.

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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