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Short-form video ads for a market (Higgsfield-style presets)

video_studio
Read-onlyIdempotent

Plan AI product videos for one market and platform, Higgsfield-style: preset formats (hero orbit, texture macro, unboxing POV, 3-step routine, local lifestyle, AI presenter) with camera moves, a shot list, keyframe and image-to-video prompts, ready request bodies for treg.to video models (draft Seedance 1 Lite, standard Hailuo 2.3, premium Veo 3.1 Fast; HeyGen avatar for presenters), hook variants for A/B tests, the platform spec (aspect, length, safe zone), voice-over language, music, AI-label and claims rules, and the estimated cost. Starts from the real packshot so the pack never changes. Free, read-only — generation runs on the user's treg token.

Input Schema

NameRequiredDescriptionDefault
itemNoProduct as an HS4 code (e.g. '3304') or a name in English or Korean (e.g. 'sunscreen', '라면'). Names cover TradeGraph's 35 items; any other product works as a 4-digit HS code (e.g. '1905' biscuits, '2005' kimchi, '3305' shampoo) with live UN Comtrade imports. Optional; sets the product group for scenes and claims rules.
tierNoModel tier: draft (cheap 480p tests), standard (Hailuo 2.3 768P), premium (Veo 3.1 Fast 1080p).
presetNoVideo format; auto = three presets that suit the product group.
countryYesTarget country as ISO 3166-1 alpha-2 (e.g. 'US', 'JP') or an English/Korean name.
productNoThe product in plain English as it looks, e.g. 'vegan sunscreen SPF50, 50 ml white tube with green cap'. Used in every prompt.
platformNoWhere the video runs; auto = the market's first creator platform.
variantsNoHook variants per preset (A/B test the first 2 seconds).
has_packshotNoWhether a real product photo exists (default true). Without one the plan asks for it first.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, closed-world, and safe; the description adds genuinely non-redundant behavior: it costs nothing, it never mutates the packshot ('the pack never changes'), the output includes estimated cost, and generation is deferred to the user's treg token. It omits any statement about determinism of preset selection or plan size beyond variants, which keeps it at 4.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core scope is front-loaded, but the first sentence is a single ~130-word run-on that packs presets, prompts, request bodies, model tiers, hook variants, platform specs, compliance rules, and cost into one breath. It is information-dense but would be far easier to parse as structured clauses.

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

Completeness4/5

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

With no output schema, the description carries the burden of describing the return value and does so thoroughly (shot list, keyframe and image-to-video prompts, request bodies, hook variants, platform spec, cost). The only gaps are how presets interact when multiple are requested and whether 'auto' can be overridden per platform.

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 every parameter is already documented, including the tier-to-model mapping and preset enum. The description restates that same mapping ('draft Seedance 1 Lite, standard Hailuo 2.3, premium Veo 3.1 Fast') rather than adding new semantics, 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 ('Plan AI product videos for one market and platform') plus a recognizable style reference and an explicit inventory of what it produces. It is clearly distinct from the sibling image_studio and from analytical tools like channel_plan.

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?

The closing line 'Free, read-only — generation runs on the user's treg token' makes the planning-vs-generation boundary explicit, which tells an agent when this tool stops and actual rendering begins. It does not name a sibling alternative or state exclusions (e.g., multi-market planning), so it stops short of a 5.

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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