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Services in EZ Lawn Biller

ez_lawn_biller_services
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"
  }
}

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, non-destructive and closed-world, so the safety profile is covered. The description adds real behavioural context beyond that: it explicitly says it 'opens nothing by itself' and that execution requires a separate browser tool, which prevents an agent from assuming the change was applied. The API-availability note adds further context about why a browser route is needed.

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 first sentence is front-loaded and the 'opens nothing by itself' clause is well placed. The trailing API paragraph, complete with a dated 404 audit of ezlawnbiller.com/api, /developers, /docs and a QuickBooks mention, is long and largely incidental to invoking the tool, diluting an otherwise tight definition.

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 documentation tool with no output schema, the description covers what it returns (step-by-step screens, buttons, fields) and how to act on it afterwards. The only missing piece is any hint of how the instructions are scoped or how long the response is, which is minor at this complexity.

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 and the schema coverage is 100%, so there is nothing for the description to clarify about inputs. The description does imply the caller must know which Services area it wants described, but with no parameters there is no semantic gap to fill.

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 verb and resource: it returns step-by-step instructions (screens, buttons, fields) for the Services area of the user's EZ Lawn Biller account. It is clear that this is a guidance lookup and not an action, but it never distinguishes itself from siblings such as ez_lawn_biller_services_2, ez_lawn_biller_add_service_type, or ez_lawn_biller_add_starter_services, so scope against neighbours remains ambiguous.

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 gives one useful routing rule: this tool only explains the steps, and the actual work must be done with cotlet_browser_* tools in the user's Cloud Browser. That is genuine when-to-use context. However, it offers no condition for choosing this over the near-duplicate Services tool or the add_service_type/add_starter_services siblings, leaving the primary selection decision to inference.

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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