Skip to main content
Glama
fredriksknese

mcp-centreon

get_metrics_data

Retrieve time-series performance data for any metric of a Centreon service. Provides historical values over a specified time range for monitoring and analysis.

Instructions

Get time-series performance data for a specific metric of a service. Use get_service_metrics first to discover available metric names.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNoEnd of the time range in ISO 8601 format (e.g., 2024-01-15T23:59:59Z). Defaults to now.
startNoStart of the time range in ISO 8601 format (e.g., 2024-01-15T00:00:00Z). Defaults to 24 hours ago.
host_idYesCentreon host ID
service_idYesCentreon service ID
metric_nameYesMetric name as returned by get_service_metrics (e.g., 'rta', 'pl', 'load1')
Behavior3/5

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

With no annotations, the description must itself convey behavioral traits. 'Get' implies a read-only operation, which is standard for a retrieval tool. However, it does not mention potential nuances like return format, pagination, or timezone handling. The guidance about get_service_metrics is more usage context than behavior. Overall, adequate but not rich in disclosure.

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?

Two concise sentences. The first states the core action, and the second provides essential prerequisite guidance. No filler or redundancy.

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?

For a read-only tool with fully documented parameters, the description sufficiently covers the purpose and a prerequisite. It does not describe the output structure, but 'time-series performance data' gives a reasonable expectation. Given the absence of annotations and output schema, it is fairly complete, though it could be enhanced with a note about the time range parameters' defaults.

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 description coverage is 100%, so the schema already documents all parameters. The description adds little beyond what's in the schema; it mentions 'specific metric' and points to get_service_metrics, but the schema already states that metric_name is 'as returned by get_service_metrics'. Therefore, no significant extra semantic value is provided.

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 a specific verb ('Get'), resource ('time-series performance data'), and scope ('for a specific metric of a service'). It also distinguishes itself from sibling tools by explicitly referencing get_service_metrics as the discovery step.

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

Usage Guidelines5/5

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

The second sentence gives explicit usage guidance: 'Use get_service_metrics first to discover available metric names.' This names the alternative tool and provides a clear sequential workflow, fully covering when/how to use this tool.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/fredriksknese/mcp-centreon'

If you have feedback or need assistance with the MCP directory API, please join our Discord server