Skip to main content
Glama

video_ai_upscale

Upscale video files using AI super-resolution to enhance detail and clarity, improving visual quality.

Instructions

Upscale video using AI super-resolution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
input_pathYes
output_pathYes
scaleNo
modelNorealesrgan

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as destructive behavior, processing time, file handling, or output format. The agent remains unaware of side effects or operational constraints.

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 description is a single sentence, which is concise, but it lacks important information that would make it effective. While brevity is valued, here it sacrifices completeness, resulting in an under-informative description. An ideal description would be longer but still well-structured.

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?

Given the tool has an output schema but no annotations and four parameters, the description is insufficient. It fails to cover valid values, constraints, or expected outcomes. The agent cannot confidently invoke this tool without additional context.

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

Parameters1/5

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

Schema description coverage is 0%, meaning the JSON schema provides no descriptions for any of the four parameters. The description 'Upscale video using AI super-resolution' adds no parameter-specific meaning beyond the parameter names and defaults. The agent gets no explanation of valid values for 'model' or 'scale', nor any context for input/output paths.

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 description clearly states the action ('Upscale') and the method ('AI super-resolution'), and it distinguishes the tool from siblings by specifying that it uses AI super-resolution for video upscaling. No sibling tool offers the same verb and resource combination.

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?

The description provides no guidance on when to use this tool versus alternatives like 'video_resize' or 'video_convert'. There are no explicit or implicit usage conditions, prerequisites, or scenarios provided.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/KyaniteLabs/mcp-video'

If you have feedback or need assistance with the MCP directory API, please join our Discord server