Skip to main content
Glama
sjk4425

ncloud-mcp-server

by sjk4425

ncloud_dataflow_list_workflows

Read-only

List all workflows in the Naver Cloud Data Flow service to review data pipeline structures, with support for pagination and search by name or description.

Instructions

List all workflows in the Data Flow service. Workflows define the data pipeline structure with nodes and edges.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (0-based)
sizeNoPage size
searchTextNoSearch by workflow name or description
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already indicate readOnlyHint=true, so the agent knows this is a read operation. The description adds context about what a workflow is (pipeline structure with nodes and edges), but doesn't disclose other behavioral traits like pagination behavior or response format.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, front-loaded with the purpose, and adds relevant context about workflows without any unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is concise but lacks information about output format, pagination behavior, or what fields are returned. Given the presence of 3 parameters and no output schema, additional context would be helpful.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents all three parameters (page, size, searchText). The description adds no additional parameter information, meeting the baseline of 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb (list), resource (workflows), and service (Data Flow). It distinguishes from sibling tools like ncloud_dataflow_get_workflow by specifying 'list all workflows'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no explicit guidance on when to use this tool versus alternatives, such as when to list versus get a single workflow. No when-not-to-use or prerequisite information is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

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