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Generate & copy link in EZ Lawn Biller

ez_lawn_biller_generate_copy_link
Read-onlyIdempotent

Generate & copy link 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_generate_copy_link"
  }
}

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 and destructiveHint=false, and the description reinforces this by explicitly stating the tool opens nothing and performs no action in the account. It also discloses the fallback path (browser automation) and the reason for it, which is meaningful context beyond the annotations.

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 two clauses are well front-loaded, but the final sentence is a dense run-on of dates, URLs and 404 results that is only tangentially about invoking this tool. That API-availability research likely belongs in a shorter note or in documentation rather than the invocation description.

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 carries the burden of explaining the return value, and it does: step-by-step screens, buttons and fields. The main remaining gap is that it never states whether the tool needs an authenticated EZ Lawn Biller session or what an agent should do if the instructions don't match the live UI.

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 is an empty closed object, so there is no parameter meaning to add. Baseline for a no-parameter tool applies; the description correctly implies nothing needs to be supplied.

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 verb and resource (generate & copy link) and immediately clarifies the critical nuance that the tool 'opens nothing by itself' but instead returns step-by-step instructions. That distinction separates it from a true action tool like ez_lawn_biller_revoke_link, though the name still slightly oversells what happens.

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 does route the agent forward: get the steps here, then execute with cotlet_browser_* tools in the Cloud Browser. But there is no explicit when-to-use/when-not framing and no mention of prerequisites (an active session, a browser tab) that would tell an agent whether it can call this now.

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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