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tacticalrmm-mcp-server

by NightSquawk

Get TacticalRMM Audit Logs

tacticalrmm_get_audit_logs
Read-onlyIdempotent

Query TacticalRMM audit logs to monitor agent actions and events. Filter by action or agent, sort, and paginate results.

Instructions

Query TacticalRMM audit logs from /logs/audit/. This is a read-only audit-log query; TacticalRMM examples use a PATCH request body for filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoTacticalRMM audit log page number.
actionsNoOptional audit action names to filter.
sort_byNoAudit log sort field.entry_time
agent_idsNoOptional TacticalRMM agent IDs to filter.
descendingNoWhether to sort descending.
rows_per_pageNoAudit log rows per page.
response_formatNoOutput format: markdown for human-readable summaries, json for structured output.markdown
Behavior4/5

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

The annotations already mark it as readOnlyHint=true, and the description reinforces this by calling it 'read-only.' The added note about TacticalRMM examples using a PATCH request body for filters provides useful behavioral context about the underlying API's quirk, going beyond the structured annotations.

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 two sentences, front-loaded with the purpose, and includes only relevant technical detail. No wasted words; every part contributes to understanding the tool's function.

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?

With 7 parameters fully documented in the schema and no output schema, the description adds the endpoint and a relevant API caveat. It doesn't describe the structure of the returned audit log entries, but given the response_format parameter covers output, the overall guidance is fairly complete for a query tool.

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?

The input schema provides complete descriptions for all 7 parameters (100% coverage), so the baseline is 3. The tool description adds no additional parameter semantics, but the schema already covers pagination, filters, sorting, and output format.

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 queries TacticalRMM audit logs from a specific endpoint (/logs/audit/), using a precise verb and resource. It is distinct from sibling tools which all target other data types, so no ambiguity remains.

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

Usage Guidelines4/5

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

It clearly indicates the tool is for querying audit logs, giving immediate context for when to use it. However, it does not explicitly mention exclusions or alternatives, though the unique resource (audit logs) makes the usage scope obvious relative to the listed siblings.

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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