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Nexscope Ecommerce Data MCP

AI Video Reclone API

nexscope_ai_video_reclone

Generate a product marketing video using a reference video, reference images, and model-specific generation settings.

Input Schema

NameRequiredDescriptionDefault
promptNoOptional creative direction prompt.
videoTimeNoOptional target video duration in seconds. Seedance 2.0, Fast, Mini, and HappyHorse V2 support any integer from 5 through 15; Seedance 2.5 supports 5, 10, 15, 20, 25, or 30.
videoTypeYesVideo model. Supported values: seedance-2-0, seedance-2-0-fast, seedance-2-0-mini, seedance-2-5, or happyhorse-v2.
resolutionYesTarget video resolution supported by the selected model, such as 720p or 1080p.
aspectRatioNoTarget video aspect ratio supported by the selected model.
productInfoNoConcise product information used to guide the recreation. Maximum 2500 characters.
refVideoUrlYesPublic URL of the reference video.
saleCountryYesTarget market country code used to localize the recreated video.
refImageListYesPublic image URLs for product or visual references.
targetLanguageYesTarget spoken and on-screen language for the recreated video.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

Annotations only say readOnlyHint=false and openWorldHint=true; the description adds no operational context. It does not say whether generation is asynchronous and requires polling via nexscope_media_task_result, what happens on model/invalid-duration mismatch, cost implications, or how the saleCountry/targetLanguage localization affects output. For a heavy generation job this leaves the agent blind to the workflow.

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?

One front-loaded sentence with no filler. It is efficient, though extremely terse given 10 parameters and six required fields – brevity here shades into under-specification.

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

Completeness2/5

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

With 10 parameters, 6 required, no output schema, and only two weak annotations, the description should explain the async result flow and model/resolution/duration interdependencies. As written it tells the agent almost nothing it could not infer from the schema alone.

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 description coverage is 100% and the videoType/videoTime cross-constraints are documented in the schema itself, so the schema carries the semantics. The description only echoes that settings are 'model-specific' without adding anything beyond what the schema already establishes.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Generate a product marketing video', and names the inputs (reference video, reference images, model settings). The word 'reference' distinguishes it from plain text-to-video siblings like nexscope_seedance_2_0_video_generation, but no sibling is named explicitly to confirm the distinction.

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

Usage Guidelines2/5

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

No statement of when to choose this over alternatives – notably the model-specific video generators (seedance, kling, wan, hailuo) or nexscope_sales_talking_video. Nothing about prerequisites such as needing a publicly reachable reference video, or 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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