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Today's Schedule in EZ Lawn Biller

ez_lawn_biller_today_s_schedule
Read-onlyIdempotent

Today's Schedule 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_today_s_schedule"
  }
}

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, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavioral information: the tool performs no UI action itself and only returns procedural guidance, which an agent must then execute via a separate browser tool family. The note that no public EZ Lawn Biller API exists also explains why the browser route 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 core instruction is front-loaded and clear, but the delivery is verbose: 'from ChatGPT, Claude or any AI agent' is filler, and the closing sentence enumerates 404 URLs and a dated research note that could be compressed to one clause. The dependency on cotlet_browser_* tools, arguably the most actionable detail, is buried mid-sentence.

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, read-only guidance tool with no output schema, the description covers what is returned (ordered screens, buttons, fields), the fact that nothing is executed, and the required follow-up mechanism. Missing only edge-case behavior such as what happens if the user is not signed in or the browser tool family is unavailable.

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 beyond what the empty schema already conveys. Baseline for a zero-parameter tool applies.

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 deliverable: step-by-step instructions (screens, buttons, fields) for reaching Today's Schedule in EZ Lawn Biller. The clarifying clause 'opens nothing by itself' usefully corrects the natural reading of the tool name, which otherwise sounds like a data fetch. It does not, however, distinguish this from the many sibling schedule tools (daily_schedule, schedule, work_schedule), leaving a small ambiguity.

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?

The description gives a workflow: read the returned steps, then execute them with cotlet_browser_* tools in the user's Cloud Browser. That is useful sequencing, but there is no guidance on when to pick this over ez_lawn_biller_daily_schedule or ez_lawn_biller_schedule, nor any stated prerequisite such as an active browser session.

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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