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New Customer in EZ Lawn Biller

ez_lawn_biller_new_customer
Read-onlyIdempotent

New Customer 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_new_customer"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Beyond the readOnlyHint/idempotentHint/non-destructive annotations, the description explains that nothing is opened or changed and that the output is instructional content rather than an action. The note that no public API exists (404s on /api, /developers, /docs; QuickBooks as the only named integration) tells the agent why browser automation is required.

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 critical facts (instructional output, no side effects, use browser tools afterward) are front-loaded, which is good. But the trailing API-archaeology sentence, including specific 404 paths and a dated search, is long and largely non-actionable for the calling agent.

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 output schema, the description must convey the return shape, and it does so coarsely ('step by step (screens, buttons, fields)'). It does not indicate how long or structured that guidance is, nor how it relates to the closely named customer-creation siblings, leaving a modest gap for a zero-parameter guide tool.

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 schema declares zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The definition correctly implies a no-argument call by describing a fixed instructional response.

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 new customer in the user's own EZ Lawn Biller account) and what the tool actually produces: step-by-step instructions covering screens, buttons and fields. The clarification that it 'opens nothing by itself' distinguishes it from an action tool, but no sibling such as ez_lawn_biller_create_customer is named, so an agent must infer the guide-vs-execute split.

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

Usage Guidelines3/5

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

It gives a clear follow-on workflow: call this for instructions, then perform the action with cotlet_browser_* tools in the Cloud Browser. However, it never says when to prefer this over the many other customer-related siblings (create_customer, new_on_demand_customer, use_existing_customer), leaving the choice implicit.

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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