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Render Video Template

clipform_render_video_template
Destructive

Render a curated video template (a pre-arranged Scene: bed + overlay + sane defaults) to MP4 or PNG from a small controls object, instead of hand-assembling Scene layers. Call clipform_list_video_templates first for available template names and their controls. Renders through the Scene composition under the hood.

Choosing a render tool: for a recognisable form/quiz beat (guess-the-city, this-or-that, mystery reveal, multiple choice, photo montage...) reach for a video template first (clipform_list_video_templates + clipform_render_video_template) - it is a one-call recipe. Use clipform_generate_video for a narrated or audio-synced media montage (images/clips timed to a voice track). Use clipform_render_composition only when neither fits and you need a custom layer stack. A render for a form node is not done until it is attached to that node. Pass node_id (and form_id) so the completed render attaches itself automatically - do not poll clipform_check_render to completion or manually chain clipform_upload_media_asset + clipform_attach_node_media; fire the render and move on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
waitNotrue (default) blocks until the render is ready and returns its URL; false returns a job ID for clipform_check_render.
contextYesDescribe the user's underlying goal in one sentence - not the tool you're calling.
form_idNoThe form UUID (required when node_id is set).
node_idNoForm node to attach this render to automatically once it completes - skips the manual clipform_upload_media_asset + clipform_attach_node_media steps and republishes the form if it's currently live. Requires form_id.
captionsNoWord-level captions from clipform_generate_tts - carried onto the attached media asset. Only used when node_id is set.
controlsYesTemplate-specific controls (see clipform_list_video_templates for the exposed control surface).
templateYesVideo template name (see clipform_list_video_templates).
outputFormatNoOutput format (default: mp4)mp4

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idNoPresent when status is 'rendering' - pass to clipform_check_render
statusYes
attachedNoTrue when node_id was provided and the render was attached to the node automatically (present once the attach outcome is known).
templateNo
public_urlNoPresent when status is 'complete' - attach via upload_media_asset then attach_node_media (fit_media: true), unless node_id was set (auto-attached)
republishedNoTrue when the form was live and was republished to include this media.
attach_errorNoPresent when node_id was provided but auto-attach failed - the render itself still succeeded.
output_formatNo
media_asset_idNoThe workspace media asset created from this render, when attached.

TDQS

A4.9/5.0
Behavior5/5

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

The description adds meaningful behavior beyond the annotations: renders go through the Scene composition under the hood, passing node_id attaches the render automatically, it republishes a live form, and wait=true blocks while wait=false returns a job ID. It also warns that a render is not done until attached to the node. These details align with the destructiveHint=true annotation and clarify side effects.

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 longer but every section earns its place: purpose, prerequisite call, tool-selection routing, and side-effect warning. It is front-loaded with the core purpose and keeps the most important behavioral guidance near the end without repetition.

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 complex tool with 8 parameters, nested controls objects, output schema, and many siblings, the description covers selection criteria, workflow ordering, side effects, and async behavior. Nothing an agent needs to correctly call this tool is missing; return values are already covered by the output schema.

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, but the description adds useful context: controls are template-specific and discovered via clipform_list_video_templates, and node_id/form_id together trigger automatic attachment. The prose about 'small controls object' and the skip-manual-steps warning reinforces parameter intent beyond the schema fields.

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 opens with a specific verb and resource: 'Render a curated video template ... to MP4 or PNG from a small controls object', and immediately distinguishes it from hand-assembling Scene layers. It also names sibling alternatives like clipform_generate_video and clipform_render_composition, so an agent can tell them apart without opening their schemas.

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?

Explicit when-to-use guidance is provided: reach for a video template first for form/quiz beats, use clipform_generate_video for narrated/audio-synced montages, and use clipform_render_composition only when neither fits. It also gives a concrete workflow — call clipform_list_video_templates first — and explicitly tells the agent what not to do (don't poll clipform_check_render, don't manually chain upload+attach).

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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TDQS

A3.9/5.0
Disambiguation3/5

Most form/node CRUD tools are clearly distinct, but the render/generate trio (generate_video, render_video_template, render_composition) and get_responses vs get_results can be confused by name alone. The descriptions include strong disambiguation guidance, so the overlap is manageable but still present.

Naming Consistency4/5

The vast majority of tools follow a consistent clipform_verb_noun snake_case pattern, with create/get/update/delete/list used predictably. Minor deviations include get_more_tools lacking the clipform_ prefix and whoami not matching the verb_noun convention.

Tool Count2/5

At 34 tools, this is above the range where a toolset feels well-scoped, and several entries are auxiliary or internal (whoami, log_generation, get_more_tools, search_news). The domain is broad, but the surface could be consolidated without losing core capabilities.

Completeness4/5

The set covers form and node lifecycle, media upload/attachment, logic wiring, publishing, responses/results, and content generation (TTS, video, music, stock media). Minor gaps remain, such as no conditional branching in set_logic and no general media-library listing tool.