ncloud_dataforest_list_accounts
List all Data Forest accounts to view and manage your Naver Cloud Platform data forest resources.
Instructions
List all Data Forest accounts
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all Data Forest accounts to view and manage your Naver Cloud Platform data forest resources.
List all Data Forest accounts
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, so the description adds no behavioral traits beyond that. It does not mention any caveats like pagination or limits, but given the annotation coverage, the description is adequate.
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?
Single sentence with no wasted words. Perfectly concise for a simple list operation.
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?
The description is basic. Without an output schema, it does not specify what the response contains (e.g., list of account IDs or details). For a simple tool, this is adequate but incomplete.
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?
Input schema has no parameters, so schema coverage is 100%. The description correctly omits parameter details. Baseline 4 for zero parameters is appropriate.
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 it lists all Data Forest accounts. It uses specific verb 'List' and resource 'Data Forest accounts', distinguishing it from siblings like get_account_detail (single account) and create_account.
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 explicit guidance on when to use this tool vs alternatives like get_account_detail or check_account_name. The description is minimal and does not provide contextual cues for selection among sibling tools.
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/sjk4425/ncloud-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server