create_thumbnail
Extract a video frame at a specified time and save it as a PNG image for use as a thumbnail.
Instructions
Extract a frame from a video and save it as PNG.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| time | No | ||
| input_video | Yes |
Extract a video frame at a specified time and save it as a PNG image for use as a thumbnail.
Extract a frame from a video and save it as PNG.
| Name | Required | Description | Default |
|---|---|---|---|
| time | No | ||
| input_video | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full burden of behavioral disclosure. It does add the output format 'PNG,' but it does not disclose whether the source video is modified, where the PNG is saved, what happens if the time parameter is invalid, or how the default time=0 behaves. This is insufficient for a tool with no annotation support.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no filler and the core action is front-loaded. It is easy to parse quickly, though the brevity contributes to the missing behavioral and parameter context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, this description is below minimum viable completeness. It confirms the output format but omits time semantics, output destination, side effects, and differentiation from the sibling 'extract_frame.' An agent could guess the basic action but would not have enough context to invoke it with confidence.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not explain `input_video` or `time` beyond implying that a frame is extracted. The meaning of `time`—units, bounds, valid range—is entirely undocumented. With no schema descriptions and no compensation in the tool description, parameter semantics are essentially absent.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Extract a frame from a video and save it as PNG.' This clearly identifies the operation and output format. However, it does not distinguish itself from the sibling tool 'extract_frame,' which appears to perform a similar frame-extraction operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool over alternatives, especially sibling 'extract_frame.' There is no mention of use cases, exclusions, or conditions such as 'use this for preview thumbnails.' An agent must infer the intended use from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Sahilkumar8084/Moviepy-MCP---Server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server