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Service summary in EZ Lawn Biller

ez_lawn_biller_service_summary
Read-onlyIdempotent

Service summary 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_service_summary"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuinely new behavioral context: it explicitly says it opens nothing by itself and hands off execution to browser tools, which is the key thing an agent needs to know to avoid double-acting. The API-availability note (404s on /api, /developers, /docs; QuickBooks named as the only integration) further explains why the browser handoff exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core behavior and the handoff instruction are front-loaded and unambiguous. The closing API-provenance sentence is longer than strictly necessary but does earn its place by justifying the browser-tool workflow; the opening clause about ChatGPT/Claude/any AI agent is mild filler.

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 it returns (steps with screens, buttons, fields), what it does not do (no side effects), and what to do next. The only gap is that it never defines the scope of a "service summary," so an agent cannot tell what content the returned steps will address.

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. The schema is an empty closed object, consistent with a pure guidance call.

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 first sentence largely restates the title ("Service summary in ... EZ Lawn Biller account") and never defines what a "service summary" actually is. The second sentence rescues it by stating the real behavior: it returns step-by-step instructions (screens, buttons, fields) rather than performing the action. An agent can infer this is a how-to/guidance tool, but the resource itself stays vague relative to data-returning siblings like ez_lawn_biller_service_catalog.

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 usage path: call this to get instructions, then execute them with the cotlet_browser_* tools in the Cloud Browser. It also states the negative case explicitly ("opens nothing by itself"), preventing an agent from assuming the task is done. It does not contrast itself against the many data-oriented ez_lawn_biller_* siblings, leaving that inference to the agent.

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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