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Email support in EZ Lawn Biller

ez_lawn_biller_email_support
Read-onlyIdempotent

Email support 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_email_support"
  }
}

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, destructiveHint=false and idempotentHint=true; the description reinforces this with 'opens nothing by itself', which is meaningful for an agent that might otherwise expect side effects. It also discloses the external research context (no public API, 404s at /api, /developers, /docs; QuickBooks as the only named integration), explaining why the browser tools are the execution path. It does not describe the shape/verbosity of the returned instructions, which keeps it below 5.

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 behavioral core is front-loaded in the first two sentences, which is good. The trailing API-discovery paragraph (specific 404 paths and a date) consumes roughly a third of the text and is background justification rather than per-call guidance, so it dilutes the 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?

With zero parameters, no output schema, and annotations covering the safety profile, the definition supplies what an agent needs: what it returns, that it performs no actions, and which tool family to use afterward. Adding the format or length of the returned steps would make it complete.

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 per the baseline this scores 4; there is nothing parameter-wise for the description to explain. 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 concrete deliverable: it 'Returns how to do it in EZ Lawn Biller step by step (screens, buttons, fields)' and clarifies it 'opens nothing by itself', so an agent knows this is a how-to/lookup tool rather than an action. The leading phrase 'Email support in the user's own EZ Lawn Biller account' is mildly ambiguous (contacting support vs. the email feature), but the second sentence resolves it. No explicit sibling differentiation.

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 workflow placement: call this first to get instructions, then 'do it with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser'. That tells the agent both when to use it and what to do next. It does not exclude any cases or name a sibling alternative (e.g., the direct email action tools), so it stops short of 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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