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Record approval in EZ Lawn Biller

ez_lawn_biller_record_approval
Read-onlyIdempotent

Record approval 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_record_approval"
  }
}

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=true, idempotentHint=true and destructiveHint=false, and the description is fully consistent with them while adding real value: "opens nothing by itself" tells the agent the call has no side effects and that a browser round-trip is required. The dated note on the absence of a public API further explains why browser automation is the only path, though it does not describe the shape of the returned guidance.

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 purpose and the no-side-effects clarification are front-loaded, which is good. But the closing paragraph about 404s on ezlawnbiller.com/api and the QuickBooks-only FAQ is long relative to the text and mostly justifies the design rather than helping an agent decide or call; "from ChatGPT, Claude or any AI agent" is also filler.

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?

For a zero-parameter, read-only guidance tool with no output schema, the description covers what comes back (step-by-step screens, buttons, fields) and what must happen next (browser tools), which is enough to call it correctly. It falls short only on identifying which approval/entity is in scope and on how the target record is referenced.

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 the schema-baseline is 4; there is nothing for the description to disambiguate. It does not, however, mention how context (which account, which item to approve) is conveyed given the empty schema, which is a small residual ambiguity.

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 gives a specific verb+resource ("Record approval in EZ Lawn Biller") and, importantly, clarifies that the tool does not perform the action but returns step-by-step screens/buttons/fields for doing it. The one gap is that it never says what kind of approval is being recorded (timesheet, invoice, service visit), which matters given the dense set of billing siblings.

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 states the follow-on workflow explicitly ("then do it with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser"), so an agent knows this is a lookup/prerequisite step rather than the action itself. However, it never names when to prefer this over the numerous sibling billing tools (bill_now, bill_the_customer, record_payment), leaving sibling selection to inference.

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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