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Confirmation thresholds in EZ Lawn Biller

ez_lawn_biller_confirmation_thresholds
Read-onlyIdempotent

Confirmation thresholds 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_confirmation_thresholds"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorldHint=false, so the safety profile is covered. The description does add two useful behavioral facts beyond that: the tool performs no action itself, and the return value is procedural text describing screens/buttons/fields. It does not indicate whether the steps are static documentation or account-specific, which matters for a per-user lookup.

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 the follow-up action are front-loaded, but the first clause is a malformed fragment and the trailing API-audit sentence is verbose, citing specific 404 paths and a date. That provenance note has some value in explaining why browser automation is required, yet it occupies a third of the text for a marginal benefit.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

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 full annotation coverage, the description is nearly sufficient: it explains what is returned and what to do next. The remaining gap is that 'confirmation thresholds' is never explained and the return contract is described only loosely (step-by-step screens/buttons/fields), leaving slight ambiguity about whether the output is generic guidance or account-derived data.

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; the baseline for a no-parameter tool applies. The free-text scope in the description ('the user's own EZ Lawn Biller account') at least clarifies that no account/tenant argument is 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 second sentence states precisely what the tool returns: step-by-step instructions (screens, buttons, fields) for handling confirmation thresholds, explicitly noting it 'opens nothing by itself'. The opening fragment ('Confirmation thresholds in the user's own EZ Lawn Biller account from ChatGPT, Claude or any AI agent') is grammatically incomplete and does not define what the setting actually configures, so the resource remains somewhat opaque.

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 handoff: use this tool to learn the procedure, then perform it with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser. That is an explicit division of responsibility versus an execution path. It stops short of stating when-not to call it or naming non-browser alternatives among the ez_lawn_biller_* siblings.

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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