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LogicMonitor MCP Server

get_resource

Read-only

Retrieve complete details of a specific device or resource in LogicMonitor using its ID, including display name, status, collector assignment, properties, and datasources.

Instructions

Get detailed information about a specific resource/device in LogicMonitor (LM) monitoring by its ID.

Returns: Complete resource/device details including: displayName, IP/hostname, hostStatus, alertStatus, collector assignment, resource/device type, custom properties, applied datasources, group memberships, last data time, creation date.

When to use:

  • Get full details after finding resource/device ID via "list_resources"

  • Check resource/device configuration

  • Verify collector assignment

  • Review custom properties before updating

Workflow: Use "list_resources" or "search_resources" first to find the deviceId, then use this tool for complete details.

Related tools: "list_resource_datasources" (see what's monitored), "list_resource_properties" (view all properties), "generate_resource_link" (get UI link).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
deviceIdYesThe ID of the resource/device to retrieve
fieldsNoComma-separated list of fields to include in response. Examples: "id,displayName,hostStatus" or use "*" for all fields. Omit this parameter to receive a curated set of commonly used fields.
Behavior5/5

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

Annotations already indicate readOnlyHint=true. Description adds behavioral context by listing the types of information returned (displayName, IP, status, etc.) and confirming it's a read operation. No contradictions.

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?

Well-structured with sections: main purpose, Returns, When to use, Workflow, Related tools. Every sentence is informative and earns its place. No fluff.

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

Completeness5/5

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

The description fully covers the tool's purpose, return content, usage context, and workflow. Given simple input schema (2 params) and no output schema, it is complete.

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%; description does not add extra detail beyond the schema's parameter descriptions. Baseline score of 3 applies as the schema already documents parameters sufficiently.

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?

Description clearly states 'Get detailed information about a specific resource/device... by its ID.' Verb and resource are specific, and it distinguishes from sibling tools like list_resources (which lists IDs) and get_resource_datasource (which gets datasource details).

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?

Provides explicit 'When to use' scenarios, a workflow hint (use list/search first), and related tools. This gives clear guidance on when to use vs alternatives.

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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