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sjk4425

ncloud-mcp-server

by sjk4425

ncloud_query_monitoring_data_multiple

Read-only

Query multiple time-series monitoring metrics from Cloud Insight in one request. Reduce API calls by aggregating metrics with specified time range and optional interval/aggregation.

Instructions

Query multiple time-series monitoring data from Cloud Insight in a single request. Supports querying multiple metrics at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricsYesArray of metric queries to execute
timeEndYesEnd time in Unix epoch milliseconds
intervalNoAggregation interval (default: Min5)
timeStartYesStart time in Unix epoch milliseconds
aggregationNoAggregation type (default: AVG)
Behavior3/5

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

Annotations already declare readOnlyHint=true, indicating this is a safe read operation. The description adds that it queries multiple metrics in a single request, but lacks details on rate limits, pagination, or potential request size limitations. The behavioral transparency is adequate given the annotation coverage.

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 highly concise with two sentences that front-load the action and key capability. No unnecessary words, every sentence earns its place.

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?

Given the tool has 5 parameters and no output schema, the description only covers purpose. It does not describe the return format or data structure of the response. While the schema provides parameter details, the description could be more complete by hinting at the output shape.

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 coverage is 100% with detailed descriptions for all parameters. The description adds no additional meaning beyond the schema, such as parameter usage examples or constraints. Baseline 3 is appropriate.

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?

The description states the tool queries multiple time-series monitoring data in a single request, clearly distinguishing it from the sibling tool 'ncloud_query_monitoring_data' which likely handles single metrics. It specifies verb, resource, and scope.

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?

The description implies usage for batch queries of multiple metrics at once, but does not explicitly state when to choose this over the singular version or provide alternatives. The sibling tool relationship provides some context, but no direct when-to-use or when-not-to-use guidance.

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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