Skip to main content
Glama

save_media_to_local_folder

Save a generated image or video URL to a local folder on your computer. Provide the media URL or ID, choose an output folder, and optionally set a filename.

Instructions

Save/download a generated image or video URL to a local folder on your computer.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filenameNoOptional custom filename for the saved media file.
output_folderNoTarget local folder path (defaults to ./media).
media_url_or_idYesMedia URL or media ID from a previous generation call.
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the save/download action but does not reveal potential side effects such as file overwriting, folder creation, filename resolution, or return values. This is insufficient transparency for a write operation.

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?

The description is a single, front-loaded sentence with no redundant words. It efficiently communicates the core purpose and destination.

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 simple tool with fully documented parameters, the description provides a basic understanding. However, it misses the 'ID' input option and provides no hints about return values or behavior like folder creation or overwrite. Without annotations or an output schema, more context would be expected for completeness.

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?

The input schema already provides descriptive coverage for all three parameters, so the baseline is 3. The description adds no additional semantic value and actually omits that 'media_url_or_id' can also be a media ID, mentioning only URL. This is a minor gap but does not contradict the schema.

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 ('Save/download'), the resource ('a generated image or video URL'), and the destination ('a local folder on your computer'). This specific verb+resource+destination combination distinguishes it from sibling tools like generate_image, list_media, and get_media_details.

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 phrase 'generated image or video URL' implies the tool is used after generation, providing some usage context. However, it does not explicitly state when to use this tool versus alternatives, nor does it mention prerequisites or exclusions.

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/LeoSzn12/google-flow-mcp'

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