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Send test to me in EZ Lawn Biller

ez_lawn_biller_send_test_to_me
Read-onlyIdempotent

Send test to me 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_send_test_to_me"
  }
}

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 and destructiveHint=false, and the description reinforces this with the concrete promise that it "opens nothing by itself" — a meaningful clarification of side-effect scope. It also explains the follow-on dependency on browser tools and notes there is no public API, which is behavior-relevant context not derivable from annotations. The exact shape of the returned steps is only loosely described.

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 actionable content is front-loaded and clear, but the closing paragraph about API endpoint probes returning 404 and QuickBooks being the only named integration is verbose and largely tangential to invoking this tool. It also contains an oddly specific dated research note. Compression into one sentence ("no public API; use the Cloud Browser") would preserve the point without the bulk.

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?

With no parameters and no output schema, the description covers the essentials: what it returns, that it has no side effects, and how to complete the action afterward. A hint about the format or granularity of the returned steps would close the remaining 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 zero parameters, so schema coverage is effectively complete and there is nothing for the description to disambiguate. Baseline of 4 applies; no parameter meaning is missing or misstated.

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?

States a specific action and scope ("Send test to me in the user's own EZ Lawn Biller account") and then explicitly redefines the real behavior: it returns step-by-step instructions (screens, buttons, fields) and "opens nothing by itself." That correction is valuable because the name alone would suggest an actual send. It does not, however, differentiate itself from likely siblings such as ez_lawn_biller_statement_test or ez_lawn_biller_send_statement.

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?

Gives a clear usage path: call this first to get the procedure, then execute it with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser. That is explicit sequencing guidance an agent can act on. It stops short of stating when NOT to use it, or which sibling to prefer for a different kind of test.

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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