Skip to main content
Glama

picture_in_picture

Overlay a smaller video onto a main video to create a picture-in-picture effect. Specify position, scale, start time, and duration for the inset video.

Instructions

Put one video on top of another video.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
xNo
yNo
scaleNo
startNo
durationNo
main_videoYes
output_pathNo
small_videoYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Install Server

TDQS

C2.4/5.0
Behavior2/5

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

Annotations are absent, so the description must carry the full behavioral burden. It only states the core action without disclosing side effects, audio handling, output format, or whether the operation is reversible. Agents are left without crucial information about the tool's behavior beyond the obvious overlay.

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 brief (one sentence) and free of fluff, but it is not structured to front-load critical information like parameter semantics or usage context. It is concise but lacks meaningful content, so the structure is minimal.

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

Completeness1/5

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

For a tool with 8 parameters, no annotations, and an output schema, the description is severely incomplete. It does not explain parameter roles, output behavior, typical use cases, or any constraints. Agents will struggle to call this tool correctly without external knowledge.

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?

With schema description coverage at 0%, the description must explain parameter meanings, but it does not mention any of the 8 parameters. Even seemingly self-explanatory ones like x, y, scale, and duration require clarification on units, coordinate origins, and behavior when omitted. The description adds no value over the schema itself.

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?

The description states a clear verb ('Put... on top of') and resource ('video'), making the basic purpose obvious. However, it does not differentiate from sibling tools that also overlay content (e.g., add_image_overlay, add_text), so agents cannot easily distinguish when to pick this one over related operations.

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?

There is no guidance on when to use this tool versus alternatives. No mention of prerequisites, typical scenarios, or exclusions. The description is purely declarative and leaves the agent to infer usage context.

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

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/Sahilkumar8084/Moviepy-MCP---Server'

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