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ncloud-mcp-server

by sjk4425

ncloud_serverless_list_events

Read-only

Retrieve events for a specific Cloud SQL cluster to troubleshoot issues or audit changes. Filter by event type, creation time, or deletion status to pinpoint relevant activity.

Instructions

List cluster events (GET /mysql/v1/clusters/{clusterName}/events). filter: AND-only expressions (≤10 conditions, no parentheses/OR) over eventType (=), clusterDeleted (=), createdDateTime (>=, <=), e.g. eventType = "BACKUP" AND createdDateTime >= "2026-07-01T00:00:00Z". eventType: CLUSTER|DB|BACKUP|FAILOVER|ACCOUNT|SCALING_IN_OUT|SCALING_UP_DOWN.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort keys 'field,asc|desc' (repeatable; allowed fields per tool)
filterNoFilter expression (see description)
pageNoNoPage number, 0-based (default 0 — note: unlike the legacy Ncloud APIs)
pageSizeNoItems per page (1-100, default 20)
clusterNameYesCluster name (3-30 chars, lowercase letters/digits/'-', no leading or trailing '-'; immutable after creation)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.16.0

TDQS

A4.3/5.0
Behavior4/5

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

Beyond the readOnlyHint annotation, the description documents non-obvious behavior: AND-only filter expressions, a 10-condition cap, disallowed parentheses/OR, supported operators per field, and the eventType enum. Pagination and sort behavior are not described, though the schema partially covers those.

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?

The description is compact and front-loaded with the verb, resource, and endpoint before the filter grammar. The dense filter sentence is somewhat hard to scan, but every part conveys necessary syntax information.

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?

The description covers the core invocation semantics: required clusterName, filter grammar, allowed operators, and eventType values. The main gap is that no return-value or sort-field details are given even though there is no output schema, though this does not prevent correct invocation.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3, but the description substantially improves understanding of the filter parameter by giving allowed fields, operators, constraints, and a worked example. It stops short of a 5 because valid sort fields are not enumerated for the sort parameter.

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 action and resource ('List cluster events') and anchors it to the exact API endpoint GET /mysql/v1/clusters/{clusterName}/events. This distinguishes it from the many sibling serverless and event-list tools.

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

Usage Guidelines4/5

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

The opening phrase and endpoint provide clear context for when this tool should be chosen: listing events for a named cluster. It does not explicitly name alternatives or exclusions, but for a straightforward read-only list operation the context is sufficient.

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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