Skip to main content
Glama

Nexscope Ecommerce Data MCP

Wan 2.6 Video Generation

nexscope_wan_2_6_video_generation

Generate a Wan 2.6 video from a required primary image with optional camera control. The model is fixed by this API, so videoType must not be supplied in the request.

Input Schema

NameRequiredDescriptionDefault
isProNoWhether to use the model's professional generation mode when supported. Defaults to false.
cameraNoCamera mode. Supported values: single or multi.
promptYesVideo generation prompt describing motion, subject consistency, camera movement, and the ecommerce scene. Maximum 10000 characters.
imageUrlYesPublic URL of the required first-frame or primary reference image.
videoTimeYesVideo duration in seconds. Supported values: 5, 10, 15.
resolutionNoOutput resolution. Supported values: 720p, 1080p.
promptOptimizerNoWhether Nexscope should optimize the video prompt before generation. Defaults to false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Useful beyond-schema disclosure: 'the model is fixed by this API, so videoType must not be supplied' genuinely matters because the schema allows additionalProperties, so an agent could otherwise pass videoType and break the call. However, nothing is said about the async nature of video generation, expected latency, or how to retrieve the finished asset (e.g. via nexscope_media_task_result), which is the main behavioral unknown for a generation tool.

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?

Two tight sentences, with the core action and the required input front-loaded and the constraint follow-up immediately after. Nothing is wasted.

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 7-parameter generation tool with no output schema and annotations covering only readOnly/openWorld, the description covers inputs adequately but omits the post-call lifecycle (task ID, polling, result retrieval) that an agent needs to actually complete the workflow. Adequate, not complete.

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%, so all seven parameters (including enums for camera, videoTime, resolution) are already documented. The description adds only the imageUrl requirement emphasis and the videoType exclusion, which the schema does not encode. Baseline 3 is appropriate.

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 Wan 2.6 video') and pins the required input ('from a required primary image'). The model-version naming does most of the disambiguation work against siblings like nexscope_wan_3_video_generation or nexscope_kling_2_6_video_generation, though no sibling is explicitly named or contrasted.

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?

The image-to-video framing implies when this tool applies, and 'optional camera control' hints at a use case, but there is no explicit when-to-use/when-not guidance and no routing advice among the many other video-generation siblings (wan_3, kling, seedance, minimax, hailuo). Usage must be inferred from the model name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources