Akebono 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
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| recommend_templesA | 自然言語のクエリに基づいて京都の寺院をスコア付きで推薦する。旅行者のプロファイル・希望・条件を自由に入力できる。 |
| get_temple_detailB | 特定の寺院の詳細情報とトピック一覧を取得する。 |
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 2 tools
The two tools have clearly distinct purposes: one retrieves detailed information for a specific temple, while the other provides recommendations based on natural language queries and traveler profiles. There is no overlap in functionality, making it easy for an agent to choose the correct tool for each task.
Both tools follow a consistent verb_noun naming pattern (get_temple_detail and recommend_temples), using snake_case throughout. The naming is predictable and readable, with no deviations or mixed conventions.
With only two tools, the server feels under-scoped for a domain like Kyoto temple information and recommendations. This limited set may force agents to work around gaps, such as lacking operations for listing temples, updating data, or handling user preferences beyond recommendations.
The tool surface is significantly incomplete for the apparent domain of Kyoto temple exploration. While it offers retrieval and recommendation, it lacks essential operations like listing temples, filtering by criteria, or managing user profiles, which could lead to agent failures in broader workflows.