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LogicMonitor MCP Server

get_configsource

Read-only

Retrieve detailed configuration source details by ID, including appliesTo logic, collection method, and alert settings to understand or troubleshoot config collection.

Instructions

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

Returns: Complete ConfigSource details: name, displayName, description, appliesTo logic (which resources/devices), collection method (CLI/SNMP/API), collection script, alert settings.

When to use:

  • Understand what config is being collected

  • Review appliesTo logic (why it does/doesn't apply to device)

  • Check collection method

  • Troubleshoot config collection issues

Key information:

  • appliesTo: Logic determining which resource/device get config tracking

  • collectMethod: How config is retrieved (CLI commands, SNMP, API)

  • configAlerts: Settings for when to alert on changes

  • lineageId: Built-in (LogicMonitor) vs custom ConfigSource

Workflow: Use "list_configsources" to find configSourceId, then use this tool to understand how it works.

Related tools: "list_configsources" (find ConfigSource), "list_device_configs" (see configs for device).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
configSourceIdYesThe ID of the configuration source 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.
Behavior4/5

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

Annotations already declare readOnlyHint=true. The description adds behavioral context beyond annotations by detailing the return fields (name, displayName, appliesTo, collectMethod, etc.) and explaining key information like lineageId (built-in vs custom). 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear headings (Returns, When to use, Key information, Workflow, Related tools). It is relatively lengthy but each section adds value. Slightly more concise phrasing could improve it, but it is organized and front-loaded with purpose.

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?

Given the tool has 2 parameters (1 required), no output schema, and readOnlyHint annotation, the description covers all necessary context. It explains return fields, usage scenarios, workflow, and related tools. The agent has sufficient information to select and invoke the tool correctly.

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%, so the input schema already documents both parameters adequately. The description does not add new parameter semantics beyond the schema, but it provides usage context (e.g., how to obtain configSourceId via list_configsources). Baseline 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 tool's function: 'Get detailed information about a specific ConfigSource by its ID in LogicMonitor (LM) monitoring.' It identifies the verb (get), resource (ConfigSource), and scope (by ID). It also distinguishes itself from sibling tools like list_configsources by mentioning its specific purpose.

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 description provides explicit usage scenarios under 'When to use:', including understanding collected config, reviewing appliesTo logic, checking collection method, and troubleshooting. It also offers a workflow: use list_configsources to find the ID, then this tool. Related tools are listed for 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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