Folderr
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| set_api_tokenA | Set an API token for authentication (alternative to login) |
| loginC | Login to Folderr with email and password |
| list_assistantsB | List all available assistants |
| ask_assistantC | Ask a question to a specific assistant |
| list_workflowsB | List all available workflows |
| get_workflow_inputsC | Get the required inputs for a workflow |
| execute_workflowC | Execute a workflow with the required inputs |
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 7 tools
Each tool has a clearly distinct purpose with no overlap: authentication (login, set_api_token), listing resources (list_assistants, list_workflows), workflow operations (get_workflow_inputs, execute_workflow), and assistant interaction (ask_assistant). The descriptions make it easy to differentiate between them.
All tools follow a consistent verb_noun pattern with snake_case throughout (e.g., ask_assistant, execute_workflow, list_workflows). The naming is predictable and readable, with no deviations in style or convention.
With 7 tools, the server is well-scoped for managing assistants and workflows in Folderr. Each tool serves a clear function, covering authentication, listing, and execution without being overly sparse or bloated.
The toolset covers core workflows: authentication, listing assistants/workflows, getting workflow inputs, and executing workflows. A minor gap is the lack of tools for creating or managing assistants/workflows, but the provided tools support basic interaction and execution effectively.