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LogicMonitor MCP Server

get_audit_log

Read-only

Retrieve complete details of a specific audit log entry by ID, including user, IP, timestamp, action description, and before/after values for updates. Ideal for investigating changes or incidents with full context.

Instructions

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

Returns: Complete audit log details: username, IP address, exact timestamp, full description of action, session ID, affected resources, before/after values (for updates).

When to use:

  • Get complete details after finding log ID via "list_audit_logs"

  • Review exact changes made (old vs new values)

  • Investigate specific incident with full context

Workflow: First use "list_audit_logs" with filters to find relevant entries, then use this tool with the log ID for complete details.

Related tools: "list_audit_logs" (search logs), "search_audit_logs" (text search).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
auditLogIdYesThe ID of the audit log entry 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 declare readOnlyHint=true, so the tool is read-only. The description adds detailed behavioral context: returns username, IP, timestamp, description, session ID, affected resources, before/after values. 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?

The description is well-structured with bullet points for returns, when to use, workflow, and related tools. It is concise, front-loaded with the primary purpose, and every sentence adds value. No wasted words.

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?

Even without an output schema, the description explains return values in detail. It covers workflow and relationships with sibling tools. For a simple tool with a clear schema, this is complete and sufficient.

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 baseline is 3. The description does not add significant meaning beyond the schema; it implicitly references the auditLogId but doesn't elaborate on the fields parameter. No new parameter context 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 the tool retrieves detailed info on a specific audit log entry by ID. It specifies the verb 'Get', the resource 'audit log entry', and differentiates from siblings like 'list_audit_logs' and 'search_audit_logs' by explicitly describing its role in the workflow.

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 (after finding log ID, review exact changes, investigate incidents). Includes a workflow step: first use list_audit_logs, then this tool. Also lists related tools, offering clear guidance on tool selection.

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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