EZ Lawn Biller by Cotlet

Retry failed notices in EZ Lawn Biller

ez_lawn_biller_retry_failed_notices

Read-onlyIdempotent

Retry failed notices 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_retry_failed_notices"
  }
}

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, and the description is fully consistent, reinforcing it with 'opens nothing by itself.' It also adds genuinely useful context beyond annotations: the return format is instructions, and the dated audit note explains why browser tools are required (no public API).

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 is well front-loaded — action, return shape, and 'opens nothing' all appear in the first two sentences. The trailing API-audit sentence with dated URL checks (404s, FAQ, manual) is largely tangential justification that a caller does not need and that will go stale.

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, no-output-schema guidance tool, the description covers what comes back (step-by-step screens/buttons/fields), that it has no side effects, and what to do next. Nothing an agent needs in order to call it correctly is missing.

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 meaning to convey and the baseline of 4 applies. Nothing in the description misdescribes the (empty) input shape.

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 a specific resource ('failed notices') and clarifies the crucial nuance that the tool does not itself retry anything but returns step-by-step instructions ('screens, buttons, fields'). That distinguishes it from a plain action tool, though it never contrasts itself with the sibling ez_lawn_biller_retry_export, leaving a naming overlap an agent must resolve on its own.

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 explicit usage context: call this first, then perform the action 'with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser.' That is a clear when-and-how sequence, but no exclusions or alternative-selection guidance against the many other ez_lawn_biller_* 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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