EZ Lawn Biller by Cotlet

Services in EZ Lawn Biller

ez_lawn_biller_services_2

Read-onlyIdempotent

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_services_2"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedNov 12, 2026

TDQS

A3.7/5.0

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, and the description is consistent with them ("opens nothing by itself"). It adds genuine context beyond the annotations: the return shape is procedural guidance rather than data, and the note that no public API exists explains why the browser path is the only execution route.

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 instruction is front-loaded, but the trailing sentence recounting 404s on ezlawnbiller.com/api, /developers and /docs plus the QuickBooks FAQ detail is a research narrative that does little to help an agent select or invoke the tool. It could be compressed to one clause without losing selection value.

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, no output schema, and annotations covering the safety profile, the description supplies what an agent needs: what comes back (step-by-step screens/buttons/fields) and what to do next (browser tools). Only the ambiguity against the sibling services tools leaves a small gap.

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 no parameter semantics to explain; the baseline for a parameterless schema applies. Nothing in the description misleads about inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description does convey that this returns step-by-step instructions for the Services area of EZ Lawn Biller ("screens, buttons, fields"), but the opening phrase "Services in the user's own EZ Lawn Biller account" is a noun phrase rather than a verb, leaving ambiguity between 'list services' and 'explain the Services screen'. It also never distinguishes itself from the near-identical sibling ez_lawn_biller_services or from ez_lawn_biller_add_starter_services.

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 workflow: call this to get the procedure, then execute it with the cotlet_browser_* tools in the user's Cloud Browser, and it explicitly states the tool "opens nothing by itself." What's missing is any exclusion or selection rule versus the other services-related 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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