Gentou
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FAL_KEY | Yes | Your Fal AI API key |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageC | Fal AI (fal-ai/nano-banana-pro) を使用して画像を生成します。 |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
There is only a single tool, generate_image, so there is no possibility of confusing it with another. Its purpose is unambiguous and clearly communicated.
The sole tool follows a clean verb_noun convention (generate_image). With only one name there is no inconsistency, though the pattern is trivially consistent.
A single tool is on the thin side for a server, even one focused narrowly on image generation. It works but leaves little surface for an agent to compose workflows with.
Generation is covered, but there are no companion operations such as edit, upscale, variation, or status/retrieval of prior generations. For the narrow generation purpose it is adequate, but the surface has obvious dead ends.