ncloud-gov-mcp-server

ncloud_send_monitoring_data

Send custom JSON monitoring data to Cloud Insight to track user-defined metrics and gain real-time insights into your resources.

Instructions

Send custom JSON monitoring data to Cloud Insight for user-defined metrics.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "prodKey": "<prodKey>",
      "data": "<data>"
    },
    "name": "ncloud_send_monitoring_data"
  }
}

Input Schema

Name	Required	Description	Default
`data`	Yes	Array of data entries to send
`prodKey`	Yes	Product key (cw_key) for the custom schema

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.1Aug 2, 2026

TDQS

B3.3/5.0

Behavior2/5

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only states the action without revealing side effects, idempotency, rate limits, prerequisites, or error behavior. For a write operation, this is a significant gap.

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 single-sentence description is concise, front-loaded with the key action, and contains no filler. It earns its place, though it could be slightly more informative without becoming verbose.

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

Completeness2/5

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

The tool has a nested schema and no output schema or annotations, and the description does not explain how to structure data entries beyond the schema, nor what happens after sending. It lacks context on return values, success criteria, and operational constraints, making it incomplete for a write operation.

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?

The input schema provides descriptions for 100% of parameters, including nested fields like prodKey, data, metrics, and dimensions. The description adds no additional parameter semantics, but the schema coverage meets the baseline, so a score of 3 is appropriate.

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 (Send), the resource (custom JSON monitoring data), and the destination (Cloud Insight), which distinguishes it from sibling query tools like ncloud_query_monitoring_data. The phrase 'user-defined metrics' adds specific scope, making the purpose unmistakable.

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 its use case (sending monitoring data for custom metrics) but provides no explicit guidance on when to prefer it over alternatives or any exclusions. With close sibling tools like ncloud_query_monitoring_data and ncloud_create_metrics_group, the usage context is only implicit.

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

Deploy Server