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Restore default in EZ Lawn Biller

ez_lawn_biller_restore_default
Read-onlyIdempotent

Restore default 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_restore_default"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

This is the strongest part: despite a mutation-sounding name, it explicitly says it "opens nothing by itself" and only returns step-by-step screens/buttons/fields, reinforcing the readOnlyHint=true and non-destructive annotations with concrete behavior. The API-availability note adds useful context for why browser automation is required, though it stops short of describing output format or whether a target setting must already exist.

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 and actionable, but the trailing sentence about ezlawnbiller.com/api returning 404s and QuickBooks being the sole integration is a long digression from a per-tool definition. It is informative context yet disproportionate for a zero-parameter read tool.

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 output schema, the description carries the burden of explaining the return value and does so — step-by-step instructions covering screens, buttons and fields — and it names the follow-up tool family. What remains missing is the identity of the specific default being restored, which matters given the many default-scoped siblings.

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 fully closed (additionalProperties: false), so there is nothing for the description to disambiguate. Baseline 4 applies; the description correctly does not invent parameter talk.

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?

"Restore default in the user's EZ Lawn Biller account" names a verb and a resource, but the resource is generic — 'default' of what? Sibling tools such as ez_lawn_biller_default_autopay_method and ez_lawn_biller_default_income_account suggest defaults are plural and specific, so an agent cannot tell which setting this restores without guessing. It also never states that the tool returns instructions rather than acting, until the body of the text.

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 gives a clear follow-on path: read the steps, then execute them with the cotlet_browser_* tools in the Cloud Browser — useful sequencing. However, it offers no guidance on when to choose this over sibling default-related tools, and no prerequisites or exclusions are stated.

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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