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Setup Wizard in EZ Lawn Biller

ez_lawn_biller_setup_wizard
Read-onlyIdempotent

Setup Wizard in the user's own EZ Lawn Biller account from ChatGPT, Claude or any AI agent. Returns how to do it in EZ Lawn Biller step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser. EZ Lawn Biller's official API: No publicly documented EZ Lawn Biller API was found on 11 Nov 2026: ezlawnbiller.com/api, /developers and /docs returned 404, and its FAQ and manual name QuickBooks as the only integration.

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": "ez_lawn_biller_setup_wizard"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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, so the safety profile is covered structurally. The description adds the important behavioral fact that the tool 'opens nothing by itself' and that execution must happen through a separate browser tool, which is context not present in annotations. It does not describe the shape or length of the returned instructions beyond 'screens, buttons, fields.'

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 workflow is front-loaded in the first two clauses, which is good. However the trailing API-availability sentence is long and oddly specific ('404 on 11 Nov 2026', FAQ and manual references), reads like research notes rather than tool guidance, and dilutes the message. The phrase 'from ChatGPT, Claude or any AI agent' is filler.

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 helper with no output schema, the definition covers the essentials: what it returns, that it mutates nothing, and which tool family to use afterward. The only real gap is the lack of any statement about the volume or format of the returned steps, which the agent would want when deciding whether one call suffices.

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 there is nothing for the description to disambiguate and the baseline of 4 applies. No parameter-level detail is missing.

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 makes clear this is a guidance/instruction-returning tool, not an action tool: it 'Returns how to do it in EZ Lawn Biller step by step (screens, buttons, fields) and opens nothing by itself.' That distinguishes it from the many action-oriented ez_lawn_biller_* siblings, though the name 'setup_wizard' alone would suggest it performs setup, so the clarification is doing real work.

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 concrete workflow: call this first to get the steps, then execute them 'with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser.' That is clear when-to-use and a named alternative route. It stops short of an explicit exclusion (e.g., 'do not use this if you only need to read data, call X instead') against the direct-action 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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