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Route map in EZ Lawn Biller

ez_lawn_biller_route_map
Read-onlyIdempotent

Route map 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_route_map"
  }
}

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, idempotentHint=true and openWorldHint=false; the description reinforces this with "opens nothing by itself," which is the key behavioral fact an agent needs before chaining into browser automation. It also discloses the output form (step-by-step screens/buttons/fields) and the API research finding that justifies the browser path. Minor gap: it does not say what happens if the requested screen or task is unrecognized.

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 two clauses are well front-loaded and waste-free. The trailing API paragraph, complete with specific dates and three 404 URLs, is disproportionately long boilerplate for a single detail and dilutes the actionable content.

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 zero parameters, no output schema and full annotation coverage, the description supplies what the structured fields cannot: the return nature (procedural steps), the no-side-effect guarantee, and the follow-on execution path. Only the exact scope of "route map" is left ambiguous relative to sibling route tools.

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 and no parameter documentation is needed. The description correctly adds no misleading parameter talk, though it also does not clarify whether a task or screen argument is expected by some other mechanism.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The operative sentence is clear about mechanism: "Returns how to do it in EZ Lawn Biller step by step (screens, buttons, fields) and opens nothing by itself." However, the opening phrase "Route map in the user's own EZ Lawn Biller account" merely restates the title as a noun phrase and never says what task the steps cover — navigating to the route map screen, building a route, or something else — which matters given close siblings like ez_lawn_biller_route_optimizer and ez_lawn_biller_save_route_changes.

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?

Explicitly sequences usage: this tool produces the steps, then the agent executes them with the cotlet_browser_* tools in the Cloud Browser. That is a clear when-to-use instruction not available from annotations or schema. It stops short of excluding alternatives or saying when another ez_lawn_biller_* tool should be preferred.

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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