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Accelo MCP Server and API by Cotlet

Update ticket in Accelo

accelo_update_ticket
Read-onlyIdempotent

Update ticket in the user's own Accelo account from ChatGPT, Claude or any AI agent. Returns how to do it in Accelo step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Accelo Cloud Browser. Accelo's official API: Accelo has a full REST API and a hosted MCP server, but the MCP server is built for questions about your data (checked 17 Oct 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": "accelo_update_ticket"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, and the description corroborates them with a concrete statement that it 'opens nothing by itself' and returns screen/button/field guidance. It adds useful context beyond the annotations but does not describe the shape or length of the returned steps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

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

The core two sentences are front-loaded and earn their place, but the trailing paragraph about Accelo's official REST API and hosted MCP server, including a 'checked 17 Oct 2026' date, is context that does not help an agent select or invoke this tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no parameters, no output schema and read-only annotations, the description covers the essentials of what it returns (step-by-step UI instructions) and what to do next. It leaves open how the specific ticket is selected and what the returned instruction payload looks like, which matters for a zero-argument tool whose entire output is prose.

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 tool takes zero parameters, so the baseline is 4. The description does not explain how the target ticket is identified (presumably from the current browser context), which is the one piece of parameter-like ambiguity left.

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?

Names a specific verb and resource (update ticket) and immediately qualifies it: the tool actually returns step-by-step Accelo UI instructions rather than mutating anything. That qualification is essential and is stated clearly, though the 'update ticket' framing still reads as an action tool at first glance.

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?

Explicitly routes the agent onward: get instructions here, then execute with the cotlet_browser_* tools in the Accelo Cloud Browser. It does not name when-not-to-use conditions or contrast against siblings like accelo_list_tickets or accelo_reply_to_ticket, but the two-step workflow is unambiguous.

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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