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Create content job

create_content_job

Queue an asynchronous, rendered content batch (up to 50 pieces). The job is returned at once; its status moves to ready_for_review, completed, or partially_failed when rendering ends. Each piece uses one render from the plan's monthly render budget; a job larger than the renders left is refused. talking-head (Video Hook & Demo) needs the user's own product recording as demoVideoKey: either a video already in their Prolifik media library or a file uploaded to a content upload URL. Each piece is a hook clip, then the demo, with the AI-written caption on top; the hook comes from the library unless hookVideoKey is given. The recordings' own audio is replaced by a library music track (assetFilters.audioMood; none = silent).

Input Schema

NameRequiredDescriptionDefault
countNo
formatYes
brandIdYes
customTextsNoYour own copy per post, used verbatim instead of AI-written text. One entry per post (null = AI writes that one); carousel entries use `slides`, every other format uses `text`.
includeLogoNo
assetFiltersNoPer-format library filters: carousel (theme, personTags), kinetic-type (personTags, audioMood), b-roll (theme, personTags, audioMood), scene-swap (memePersonTags, backgroundPersonTags, memeReactions), talking-head (audioMood). caption-card takes none.
deliveryModeNodownload
demoVideoKeyNotalking-head only, required there: the product recording that plays after the hook (max 60 s). A video key from list_media_library, or the key from create_content_upload_url.
hookVideoKeyNotalking-head only, optional: your own hook clip, max 15 s (a media library video key, e.g. an AI Studio talking head, or an upload key). Omit to use library hooks.
mentionBrandNo
idempotencyKeyYes
contentSourceIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish non-read-only and open-world behaviour, but the description adds substantial context beyond them: asynchronous lifecycle with concrete terminal states (ready_for_review, completed, partially_failed), per-piece consumption of the monthly render budget, and a refusal condition when the budget is exhausted. It omits auth/permission requirements, which prevents a 5.

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 core action, batch limit and quota constraint are front-loaded and efficient. The talking-head mechanics arrive as one long compound sentence, which is dense but arguably necessary for the format's required parameters; there is little pure filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 12-parameter, nested-object mutation with no output schema and low schema coverage, the description covers the risky/ambiguous parts (quota, async states, talking-head inputs, audio substitution). It still leaves several parameters and the idempotency contract undocumented, so an agent could call it valid but under-informed.

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 only 33% across 12 parameters, so the description must compensate. It does add meaning for demoVideoKey, hookVideoKey and audioMood (own audio replaced by library track), but leaves deliveryMode, idempotencyKey, contentSourceId, includeLogo and mentionBrand entirely unexplained in both prose and schema.

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 first sentence names a specific verb and resource ('Queue an asynchronous, rendered content batch') and scopes it (up to 50 pieces). An agent can distinguish this from siblings like create_clip_job or create_studio_generation without opening the schema.

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?

Usage context is implied through prerequisites: talking-head requires demoVideoKey from a media library or upload URL, and a job exceeding remaining monthly renders is refused. However, it never states when to choose this over the closely-named siblings (create_clip_job, create_studio_generation), and gives no explicit exclusions.

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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