MCP Goose Subagents Server
Server 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 |
|---|---|
| delegate_to_subagentsC | Delegate tasks to Goose CLI subagents for autonomous development |
| create_goose_recipeC | Create a reusable Goose recipe for specialized subagents |
| list_active_subagentsB | List currently active subagents and their status |
| get_subagent_resultsC | Get results from completed subagents |
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 4 tools
Each tool has a clearly distinct purpose with no overlap: create_goose_recipe handles recipe creation, delegate_to_subagents initiates task delegation, get_subagent_results retrieves results, and list_active_subagents monitors subagent status. The descriptions clearly differentiate their functions, making misselection unlikely.
All tool names follow a consistent verb_noun pattern (create_goose_recipe, delegate_to_subagents, get_subagent_results, list_active_subagents) with snake_case throughout. The naming is predictable and readable, with no deviations in style or convention.
With 4 tools, the count is reasonable for managing subagents, covering creation, delegation, result retrieval, and status listing. It is slightly lean but well-scoped for the apparent purpose, though additional tools for updating or deleting recipes might be expected in a more comprehensive set.
The tool set covers core workflows: creating recipes, delegating tasks, getting results, and monitoring status. Minor gaps exist, such as no tools for updating or deleting recipes, and no direct control over subagents (e.g., stopping them), but agents can likely work around these with the provided operations.