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Read route efficiency analytics in EZ Lawn Biller

ez_lawn_biller_read_route_efficiency_analytics
Read-onlyIdempotent

Read route efficiency analytics 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_read_route_efficiency_analytics"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Adds genuinely useful behaviour beyond the annotations: 'opens nothing by itself' and that the return value is a how-to walkthrough rather than the analytics data itself — a non-obvious trait that prevents misuse. It says nothing about authentication or whether the browser session must already be authenticated, which is the main remaining gap for a read-only, non-destructive call.

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 operative instruction (returns steps, opens nothing, then use cotlet_browser_* tools) is front-loaded and clear, but the opening clause 'from ChatGPT, Claude or any AI agent' is promotional filler and the API-research sentence about 404 pages on ezlawnbiller.com is only tangentially relevant to invoking the tool.

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?

There is no output schema, and the description does disclose the shape of the return (screens, buttons, fields) plus the required follow-up tool family, which is what an agent needs for a parameterless read. Auth/session prerequisites for the browser step are the one thing left unexplained.

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?

Zero parameters with 100% schema coverage, so the schema baseline applies; there is no parameter meaning the description could add. Nothing in the description misdescribes the (empty) input contract.

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?

States a specific verb and resource ('Read route efficiency analytics in the user's own EZ Lawn Biller account'), which is distinguishable from mutating siblings like ez_lawn_biller_save_route_changes. It never explicitly contrasts itself with near-neighbours such as ez_lawn_biller_route_map or ez_lawn_biller_route_optimizer, so the agent must infer the distinction.

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?

Gives an explicit workflow: call this first to get step-by-step screens/buttons/fields, then act with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser. It does not state when to use a sibling analytics/route tool instead, so the routing guidance is clear but not exhaustive.

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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