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Customer preferences in EZ Lawn Biller

ez_lawn_biller_customer_preferences
Read-onlyIdempotent

Customer preferences 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_customer_preferences"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

"Opens nothing by itself" reinforces the supplied readOnlyHint/destructiveHint=false and tells the agent the output is instructional rather than an action taken. That is useful added context beyond the annotations. The remainder of the description (the 404/QuickBooks API investigation) is operational trivia that does not describe this tool's behavior, and nothing is said about the shape or limits of the returned steps.

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 opening phrase about ChatGPT, Claude or any AI agent is filler that delays the actual purpose, and the closing paragraph about ezlawnbiller.com 404s and QuickBooks integration is unrelated to invoking this tool. The one high-value sentence is buried in the middle rather than front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With zero parameters and no output schema, the description must carry everything, and it does explain the return content (screens, buttons, fields) and the non-executing nature. The critical gap is that a zero-parameter tool cannot scope to a specific customer, and the description never addresses how scope or context is supplied. The API investigation paragraph occupies space without closing that gap.

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 no parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description correctly avoids inventing arguments and points to the browser tools for execution.

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?

"Returns how to do it in EZ Lawn Biller step by step (screens, buttons, fields)" is the only sentence that states what the tool actually does, and it usefully corrects a misleading name that sounds like a data read. However, the resource itself is left vague: it never says which customer preferences (delivery, late fees, notifications?) are covered, nor does it distinguish itself from sibling settings tools such as ez_lawn_biller_customer_settings or ez_lawn_biller_customer_delivery_settings. An agent knows it gets instructions, not which instructions.

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 does give a sequencing rule: read these steps, then act with the cotlet_browser_* tools in the Cloud Browser. That is real usage guidance. But it offers no when-to-use/when-not guidance against the many sibling customer tools, and no conditions under which this guide tool should be skipped in favour of a direct action tool.

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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