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magnific_video_upscale

Upscale video via Topaz or Magnific. Pass creationIdentifier or Freepik videoUrl. Params: video_upscale_models_list. Then call creations_show.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYes
focusNo
turboNo
flavorNo
previewNo
sharpenNo
fpsBoostNo
strengthNo
videoUrlNo
targetFpsNo
creativityNo
smartGrainNo
upscaleFactorNo
premiumQualityNo
folderReferenceNo
enhancementModelNo
targetResolutionNo
creationIdentifierNo
frameInterpolationNo
magnificResolutionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior2/5

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

Annotations only tell us the tool is not read-only, not idempotent, and not destructive, which is minimal. The description adds only a weak behavioral clue by saying 'Then call creations_show', but it does not disclose side effects, return behavior, failure modes, cost implications, or how the output creation is stored/represented.

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 description is compact and front-loaded with the core action. The sentence 'Params: video_upscale_models_list' is cryptic and slightly confusing, but overall the structure is short and to the point.

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?

For a mutation tool with 20 parameters, no output schema, and no substantial annotation context, this description is not complete enough. It conveys the intended pipeline but leaves the agent guessing about optional parameter semantics, the exact meaning of `Params: video_upscale_models_list`, and the result-handling expectations beyond 'creations_show'.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 20 parameters with 0% description coverage, so the tool description must compensate. It only explains the two source inputs, `Identifier` and `videoUrl`, and indirectly maps 'Topaz or Magnific' to `mode`; the remaining parameters are left to names and enum values.

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 opening phrase 'Upscale video via Topaz or Magnific' clearly specifies the verb, resource, and available engine paths. It also differentiates this tool from image-only upscale tools and the model-list sibling by anchoring it to video upscaling.

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 description gives concrete usage guidance: pass either a `creationIdentifier` or a Freepik `videoUrl`, then follow up with `creations_show`. It does not explicitly name alternatives or exclusions, such as 'for images use magnific_images_upscale', but the workflow is clear enough for invocation.

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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