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Save route changes in EZ Lawn Biller

ez_lawn_biller_save_route_changes
Read-onlyIdempotent

Save route changes 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_save_route_changes"
  }
}

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, destructiveHint=false and idempotentHint=true; the description reinforces this by stating it 'opens nothing by itself' and returns instructions instead of acting. It also discloses a relevant external fact – no public EZ Lawn Biller API exists, so the browser tools are required – which is behavior an agent could not get from annotations alone.

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 purpose and the follow-up instruction are front-loaded, but the closing sentence about the API is bloated with dated provenance (three 404 URLs and a specific date) that could be compressed to one clause. It is not wasteful enough to obscure the point, but it is heavier than the decision requires.

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 tool with no output schema whose safety profile is fully covered by annotations, the description supplies the essential missing piece – that output is a step-by-step UI walkthrough rather than a saved state. The only remaining ambiguity is how the returned steps relate to sibling route tools, which is a minor gap.

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?

With zero parameters and 100% schema coverage there is nothing for the description to disambiguate, so the baseline applies. The description correctly does not invent arguments and instead frames the tool as parameterless guidance retrieval.

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 names a specific verb+resource (save route changes in the user's EZ Lawn Biller account) and immediately clarifies that the tool returns step-by-step directions rather than performing the save, which resolves the tension with the 'save' name. It does not, however, distinguish itself from route-related siblings such as ez_lawn_biller_route_optimizer or ez_lawn_biller_route_map.

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 tells the agent what to do next ('then do it with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser'), which is useful sequencing guidance. But there is no explicit when-not guidance and no named sibling alternative for read-only route questions, so the agent must infer that this tool is only for the act of saving.

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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