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sjk4425

ncloud-mcp-server

by sjk4425

ncloud_dataflow_list_triggers

Read-only

List all triggers in Data Flow service to view scheduled or event-based job execution configurations. Filter by name or description to find specific triggers.

Instructions

List all triggers in the Data Flow service. Triggers define scheduled or event-based job execution.

Input Schema

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

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

Annotations already declare readOnlyHint=true, so the read-only nature is clear. The description adds that triggers define scheduled or event-based execution, which is contextual but does not disclose additional behavioral traits like pagination, rate limits, or authentication requirements. With annotations present, the bar is lower, and the description adds moderate value.

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 long, front-loaded with the action, and contains no redundant information. Every word contributes to clarity.

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

Completeness4/5

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

Given the tool's simplicity (list with optional pagination and search) and the presence of well-documented schema and readOnly annotation, the description is largely complete. It could benefit from explicitly mentioning pagination or filtering behavior, but it is sufficient for an AI agent to understand the tool's primary function.

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?

All three parameters (page, size, searchText) are fully described in the input schema with 100% coverage. The description does not add any further meaning or usage details for the parameters, so it meets the baseline for schema coverage.

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' and the resource 'triggers in the Data Flow service', and distinguishes it from sibling tools like get, create, and delete triggers. It also briefly explains what triggers are, adding context.

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 guidance on when to use this tool versus alternatives such as ncloud_dataflow_get_trigger for specific triggers. There is no mention of use cases, prerequisites, or exclusions.

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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