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Send updated statement in EZ Lawn Biller

ez_lawn_biller_send_updated_statement
Read-onlyIdempotent

Send updated statement 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_send_updated_statement"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description reinforces this with 'opens nothing by itself,' which is important because the tool name implies a send/mutation. It goes further by explaining why browser automation is required: the official API search returned 404 on /api, /developers and /docs, and QuickBooks is the only named integration. That is genuinely additive context beyond the structured fields. It does not describe the shape or length of the returned instructions, which keeps it short of a 5.

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?

The purpose and the 'opens nothing by itself' caveat are front-loaded, and the next step is stated before the background detail. Every sentence contributes, though the API-availability sentence is long and reads as justification prose rather than instruction. It is slightly verbose but well ordered.

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, no output schema, and annotations covering the safety profile, the remaining burden is to say what comes back and what to do next — both are present (step-by-step screens/buttons/fields, then cotlet_browser_* tools). The one gap is that it does not characterize the return format or note that the steps may vary by plan/UI version, which matters for a guidance-only 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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline is 4. The description correctly presents this as a no-argument call that returns a procedure. No gap to compensate for.

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 concrete verb and resource: it returns step-by-step instructions (screens, buttons, fields) for sending an updated statement in EZ Lawn Biller, and explicitly says it 'opens nothing by itself.' This resolves the ambiguity in the tool name, which sounds like a write action, giving an agent a clear picture of what the call yields. It stops short of naming a sibling (e.g., ez_lawn_biller_send_statement) to contrast with, so differentiation is inferred rather than stated.

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 states the workflow clearly enough: call this to get the procedure, then execute it with the cotlet_browser_* tools in the user's Cloud Browser. That is useful implied guidance for how this tool fits into a sequence. However, it offers no explicit when-not guidance and does not distinguish this from the many sibling statement tools (send_statement, statement_run, statement_preview), leaving the agent to guess which entry point fits which situation.

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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