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ncloud-mcp-server

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ncloud_dataflow_execute_workflow

Start a new execution of every job in a Naver Cloud Data Flow workflow by passing the required workflow ID.

Instructions

Execute a Data Flow workflow. Starts a new execution of every job in the workflow.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workflowIdYesWorkflow ID to execute (see ncloud_dataflow_list_workflows)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.0.1

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full disclosure burden. It does reveal the side effect that every job in the workflow is started, but says nothing about permissions, whether the call is asynchronous, whether the run can be cancelled, or what (execution ID?) comes back.

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

Conciseness4/5

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

Two tight sentences, front-loaded with the action and followed by the scope clarification. Nothing is padded, though the second sentence partially restates the first before adding the 'every job' nuance.

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?

For a single-parameter execute tool this covers the core action, but with no output schema the description is the only place to state whether an execution handle is returned and whether the call blocks or returns immediately, and it omits both.

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?

There is one parameter at 100% schema description coverage, and the schema itself already routes the agent to ncloud_dataflow_list_workflows for the ID. The description adds no format, constraint, or sourcing detail beyond the schema, so the baseline 3 applies.

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

Purpose4/5

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

Specific verb+resource ('Execute a Data Flow workflow') with a second sentence that pins down the scope: every job in the workflow runs. That fan-out detail meaningfully separates it from the sibling ncloud_dataflow_execute_job, though the sibling is never named explicitly.

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

Usage Guidelines3/5

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

Usage is only implied by the verb 'Execute'; there is no explicit when-to-use, no statement of prerequisites (e.g., workflow must exist / be active), and no routing to alternatives like ncloud_dataflow_execute_job for single-job runs.

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

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