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Appointment reminders in EZ Lawn Biller

ez_lawn_biller_appointment_reminders
Read-onlyIdempotent

Appointment reminders 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_appointment_reminders"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

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, destructiveHint=false, openWorldHint=false and idempotentHint=true, so the safety profile is covered. The description adds genuinely new behavioral context: it 'opens nothing by itself', its output is instructional text with UI steps, and it documents that no public EZ Lawn Biller API exists, steering the agent away from an API path. That is useful disclosure beyond the structured fields, though it says nothing about prerequisites such as an authenticated session.

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 purpose and the 'opens nothing by itself' caveat are front-loaded, which is good. But the opening phrase 'from ChatGPT, Claude or any AI agent' is filler, and the final sentence is a long, dense API-discovery footnote that, while relevant, is not tightly structured and could be compressed to a single clause.

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 output schema, no parameters and rich annotations, the description carries the remaining burden and does so reasonably: it says what it returns (screens, buttons, fields), what it does not do, and which tool family performs the real action. Missing is any mention of prerequisites (signed-in account, browser session state), which an agent would need before handing off to cotlet_browser_*.

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 the baseline is 4 and there is nothing for the description to disambiguate. It correctly does not invent parameter detail; the schema is an empty object with additionalProperties=false, which is self-evident.

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 concrete resource (appointment reminders) and clarifies the actual output is a step-by-step how-to guide with screens, buttons and fields, not a performed action. This corrects what the name/title alone would suggest ('appointment reminders'), which is valuable. It does not explicitly distinguish itself from nearby siblings such as ez_lawn_biller_held_billing_reminders, so it falls short of a 5.

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 implies a workflow ('returns how to do it... then do it with the cotlet_browser_* tools'), which tells the agent this is a preparatory step rather than the action itself. However, there is no explicit when-to-use/when-not-to-use framing and no named alternative for the case where the agent should just act directly, so guidance is implied rather than stated.

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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