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Print All in EZ Lawn Biller

ez_lawn_biller_print_all
Read-onlyIdempotent

Print All 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_print_all"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so safety is covered. The description adds genuinely new behavioral facts beyond them: the tool performs no UI action ('opens nothing by itself'), returns procedural steps, and requires a follow-up browser tool to act. The API-availability note is supplementary context rather than behavioral disclosure.

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 behavior and next-step routing are front-loaded and easy to extract. However, the trailing research note about ezlawnbiller.com/api returning 404 and QuickBooks being the only integration is long and tangential to invoking this tool, diluting an otherwise compact 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, no-output-schema guidance tool, the description covers what it returns (step-by-step screens, buttons, fields) and how to act on it afterwards. It could be more complete about the response shape or which specific cotlet_browser_* tool to use, but nothing essential for correct invocation is missing.

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. Baseline 4 applies; the description correctly implies no inputs are needed.

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 user action (Print All) and clarifies the actual behavior: it 'Returns how to do it in EZ Lawn Biller step by step (screens, buttons, fields) and opens nothing by itself.' That distinction between returning instructions and performing the action is valuable. It does not, however, differentiate itself from nearby siblings such as ez_lawn_biller_print_notice_exceptions or ez_lawn_biller_statements_to_print.

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 clear workflow guidance: call this to get the steps, then execute them 'with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser.' That tells an agent both when to use it and what to do next. It stops short of explicit exclusions against sibling print-related tools, so it is not a 5.

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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