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ryanmat

io.github.ryanmat/logicmonitor

by ryanmat

get_audit_logs

Read-onlyIdempotent

Retrieve audit logs from LogicMonitor to track user actions and resource changes. Filter by username, action, resource type, or time range for targeted security auditing.

Instructions

Get audit logs from LogicMonitor

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results
actionNoFilter by action type
offsetNoPagination offset
end_timeNoEnd time in epoch seconds (optional)
usernameNoFilter by username
start_timeNoStart time in epoch seconds (optional)
resource_typeNoFilter by resource type

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv4.2.0

TDQS

C2.9/5.0
Behavior2/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description adds no behavioral detail beyond that. It does not mention pagination behavior, time-range semantics, filtering implications, or what an audit log entry contains.

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 a single efficient sentence with no filler or repetition. It is front-loaded, though it could carry more useful context 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?

For a tool with 7 optional parameters and no output schema, the one-line description is not complete enough. It does not explain the audit log scope, distinguish it from related audit tools, or describe what the returned logs look like.

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 input schema fully documents each parameter. The description itself adds no parameter-level meaning, which is acceptable under the baseline for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a clear verb and resource: 'Get audit logs from LogicMonitor'. It is understandable at a high level, but it does not distinguish this tool from closely related siblings such as get_login_audit, get_change_audit, and get_api_token_audit.

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

Usage Guidelines2/5

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

No guidance is provided about when to use this tool versus alternatives, nor are any exclusions or prerequisites mentioned. The agent is left to infer the appropriate context from the name alone.

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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