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Finalize payroll in EZ Lawn Biller

ez_lawn_biller_finalize_payroll
Read-onlyIdempotent

Finalize payroll 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_finalize_payroll"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Annotations declare readOnlyHint=true and destructiveHint=false, and the description reinforces rather than contradicts that by stating it 'opens nothing by itself'. It goes well beyond the annotations by disclosing that the return value is procedural guidance, that execution requires separate cotlet_browser_* tools, and that no public API exists (verified 404s on /api, /developers, /docs, QuickBooks as the only named integration). That last point materially explains why browser automation is the required path.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is front-loaded: the correction ('opens nothing by itself') arrives in the first sentence, before the follow-up workflow. The dated API-research sentence is supporting rationale rather than filler, since it justifies the browser-tool path, though the phrase 'from ChatGPT, Claude or any AI agent' is redundant boilerplate that could be cut.

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

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no input schema, no output schema and no parameters, the description carries the burden of explaining what comes back — and it does, specifying step-by-step screens, buttons and fields. It also covers the handoff to the execution tools, which is the main ambiguity for a zero-arg guidance tool.

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?

There are zero parameters and 100% (vacuous) schema coverage, so there is nothing for the description to disambiguate. Baseline for a no-parameter tool applies, and the description adds no noise on this dimension.

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 specific verb and resource (finalize payroll in EZ Lawn Biller) and immediately corrects the likely misreading by saying it 'Returns how to do it... and opens nothing by itself'. That makes the tool's real function — procedural guidance, not execution — unambiguous. It stops short of explicitly contrasting with payroll siblings like run_payroll or review_payroll, so the boundary with those is left implicit.

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 concrete workflow: call this to get step-by-step screens/buttons/fields, then perform the action with the cotlet_browser_* tools in the Cloud Browser. That tells an agent both when to use it and what to do next. It does not state when to prefer this over the other payroll tools (run/review/historical), so the alternative-selection rule is only implied.

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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