EZ Lawn Biller by Cotlet

Add starter services in EZ Lawn Biller

ez_lawn_biller_add_starter_services

Read-onlyIdempotent

Add starter services 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_add_starter_services"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedNov 12, 2026

TDQS

A3.9/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered; the description adds the crucial fact that it 'opens nothing by itself' and that the actual mutation happens through separate browser tools. It also explains why no direct API call is possible (no public EZ Lawn Biller API). The only gap is that it does not describe the shape or size of the returned instructions.

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 is front-loaded in the first two clauses, which is good. The trailing sentence reciting 404 results for specific URLs on a specific date is low-value noise for an agent deciding whether to call the tool, and the second sentence is overloaded with semicolons.

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 what comes back, and it does so at a high level (step-by-step screens, buttons, fields). For a zero-input, read-only guidance tool it is complete enough to call correctly, though the exact return format remains unstated.

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. Schema coverage is 100% and additionalProperties is false, so no hidden inputs exist.

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 the actual behavior specific: it returns step-by-step instructions (screens, buttons, fields) for adding starter services rather than performing the add. This corrects the potentially misleading 'add' verb in the name and clearly scopes it to the user's own account. It does not, however, differentiate itself from the many other ez_lawn_biller_add_* siblings, which presumably behave the same way.

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 clear sequencing guidance: call this first to get the instructions, then perform the action with the cotlet_browser_* tools in the user's Cloud Browser. What is missing is any when-not guidance or explicit routing between this tool and the other add_* 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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