human-mcp
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 |
|---|---|
| human_eye_toolC | 人間が目で見て状況を説明したり、特定のものを探したりします。 |
| human_hand_toolC | 人間が手を使って簡単な物理的操作を実行します。 |
| human_mouth_toolC | 人間が口を使って指定された言葉を発話します。 |
| human_weather_toolB | 人間が現在地の天気を確認して報告します。 |
| human_ear_toolC | 人間が耳を使って音を聞き、状況を説明します。 |
| human_nose_toolC | 人間が鼻を使って匂いを確認します。 |
| human_taste_toolB | 人間が口を使って食べ物を味わい、その味を説明します。 |
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 7 tools
Each tool corresponds to a distinct human sensory organ or function (ear, eye, hand, mouth, nose, taste, weather), with no overlap in purpose. The descriptions clearly differentiate their roles, such as hearing sounds, seeing visuals, physical manipulation, speaking, smelling, tasting, and weather reporting, making misselection unlikely.
All tool names follow a consistent 'human_[organ/function]_tool' pattern using snake_case. This uniform naming convention makes the tools predictable and easy to identify, with no deviations or mixed styles across the set.
With 7 tools, the count is reasonable for covering human sensory and basic environmental interactions. It's slightly lean for a broad 'human' scope but well-scoped for sensory functions, with each tool earning its place without feeling excessive or thin.
The tool set provides good coverage for human sensory inputs (sight, sound, smell, taste, touch) and basic actions (speaking, weather checking). Minor gaps exist, such as no tools for cognitive functions like thinking or memory, but agents can work around this for the stated sensory domain.