get_server_detail
Retrieves detailed configuration and status of a specific server instance by its instance number.
Instructions
특정 서버 인스턴스의 상세 정보를 조회합니다
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| serverInstanceNo | Yes | 서버 인스턴스 번호 |
Retrieves detailed configuration and status of a specific server instance by its instance number.
특정 서버 인스턴스의 상세 정보를 조회합니다
| Name | Required | Description | Default |
|---|---|---|---|
| serverInstanceNo | Yes | 서버 인스턴스 번호 |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. However, it does not disclose any behavioral traits such as response format, required permissions, or side effects beyond the basic action of retrieving information.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence in Korean, clearly stating the purpose without any unnecessary words. It is well-structured and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read operation with one parameter, the description is minimally viable but lacks explanation of what 'detailed information' includes or any usage constraints. It adequately conveys the core function but leaves gaps in expected response details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents the single parameter with 100% coverage, providing its name and description. The tool description does not add additional meaning or context beyond what the schema provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves detailed information for a specific server instance, using a specific verb and resource. It distinguishes itself from sibling list operations like list_servers by specifying '특정' (specific) instance.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives such as list_servers or other lifecycle tools. The usage context is only implied by the purpose, with no explicit when-to-use or when-not-to-use instructions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/pang-ec/ncp-mcp-server'
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