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Accelo MCP Server and API by Cotlet

Create quote in Accelo

accelo_create_quote
Read-onlyIdempotent

Create quote 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_create_quote"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

The annotations (readOnlyHint=true, destructiveHint=false, idempotentHint=true) correctly match a tool that only returns guidance rather than mutating anything, and the description reinforces that with 'opens nothing by itself.' It adds useful context beyond the annotations by naming the follow-up tool family and noting the Accelo API/MCP alternative. It doesn't say whether the returned procedure is generic or tailored, or how it responds if the user lacks quote permissions.

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 behavior and next step are reasonably front-loaded, but 'from ChatGPT, Claude or any AI agent' is marketing filler and the dated API aside ('checked 17 Oct 2026') is tangential to invoking the tool. The final sentence is long and buries the alternative-route information an agent may actually need.

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?

For a zero-parameter, read-only guidance tool with no output schema, the description covers what matters: what it returns (steps), that it performs no action, and which tools execute the procedure afterward. The remaining ambiguity is whether the returned steps are generic Accelo instructions regardless of any specific quote details, which isn't stated.

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 description carries no parameter burden and the baseline is 4. Nothing in the description contradicts or misrepresents the empty schema.

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 the resource (a quote in the user's Accelo account) and explicitly clarifies the real behavior: it returns step-by-step screens/buttons/fields and 'opens nothing by itself,' then routing execution to cotlet_browser_* tools. That distinguishes it well from the browser siblings. The verb 'create' in the name overstates what the tool does, but the description corrects that in the same sentence.

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 a clear usage pattern: call this first to get the procedure, then execute with the cotlet_browser_* tools in the Accelo Cloud Browser. It also mentions Accelo's REST API and hosted MCP server as alternative routes, though the guidance on those is descriptive ('built for questions about your data') rather than a direct instruction on when to prefer them. No explicit exclusions or prerequisites (e.g., whether the user must be signed in to Accelo) are given.

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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