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Autotask MCP Server and API by Cotlet

Add ticket note in Autotask

autotask_add_ticket_note
Read-onlyIdempotent

Add ticket note in the user's own Autotask account from ChatGPT, Claude or any AI agent. Returns how to do it in Autotask step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Autotask Cloud Browser. Autotask's official API: Autotask has a full REST API, and Kaseya publishes an official Autotask MCP server that is still in alpha (checked 6 Nov 2026).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "autotask_add_ticket_note"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, and the description is consistent with them ('opens nothing by itself'). Beyond that, it discloses the concrete return content — screens, buttons and fields presented step by step — which the annotations cannot express. The closing remark about Autotask's REST API and Kaseya's alpha MCP server adds background but no behavioral detail an agent needs to invoke the tool.

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 operative information is front-loaded: what it returns, that it takes no action itself, and which tools carry out the action. The final sentence about the official API and an alpha MCP server is tangential and reads as justification rather than instruction, costing a point on economy.

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 no parameters and no output schema, the description carries the burden of explaining the return value, and it does so concretely (step-by-step screens, buttons, fields). What remains unstated is the precondition — whether an Autotask Cloud Browser tab/session must already exist for the cotlet_browser_* follow-up to succeed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is an empty object with no properties, so there is nothing to disambiguate; the baseline for a zero-parameter tool applies. The description correctly implies no arguments are needed, though it never says so explicitly.

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 states a specific verb-plus-resource (add ticket note in the user's Autotask account) but immediately reframes it: the tool does not perform the write, it returns step-by-step instructions for doing it. That reframing is essential and unambiguous ('opens nothing by itself'), which distinguishes it from siblings like autotask_create_ticket or autotask_update_ticket. It loses a point only because the tool name itself suggests a mutation and the description has to spend effort undoing that impression rather than stating the guide-emitting role up front.

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 gives an explicit follow-on path: after receiving the instructions, perform the action using the cotlet_browser_* tools in the user's Autotask Cloud Browser. That routing tells an agent what this tool is and is not for. It stops short of naming exclusions (e.g., when to prefer cotlet_app_guide) or prerequisites such as requiring an already-open Autotask browser session.

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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