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Inventory Value in EZ Lawn Biller

ez_lawn_biller_inventory_value
Read-onlyIdempotent

Inventory Value 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_inventory_value"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Beyond the annotations (readOnly, idempotent, non-destructive, closed-world), the description adds the genuinely important behavioral fact that this tool 'opens nothing by itself' and returns instructions only, plus that it produces no side effects and no API route exists. That prevents a common failure mode where an agent assumes the call performed the action. It does not describe output format or length, keeping 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.

Conciseness3/5

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

The middle sentence carries the real payload and is well placed, but the leading sentence is grammatically garbled and front-loads a marketing-style audience list instead of the action. The closing API-research sentence, including a specific date and a list of 404'd URLs, is verbose for the value it adds.

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?

For a zero-parameter, annotation-covered, no-output-schema guide tool, the description supplies everything needed: what is returned (steps with screens/buttons/fields), that nothing is executed, and which tool family to use afterward. No gaps remain that would cause an agent to misuse it.

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 and the baseline of 4 applies. The description correctly implies no arguments are needed to request the how-to.

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 makes clear this returns a step-by-step how-to for viewing Inventory Value rather than retrieving the value itself, which is the critical distinction. However, the opening is a noun phrase ('Inventory Value in the user's own EZ Lawn Biller account... from ChatGPT, Claude or any AI agent') with no verb, and it never contrasts itself with nearby siblings such as ez_lawn_biller_inventory_report or ez_lawn_biller_inventory_checklist.

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 states a concrete workflow: call this to get the screens/buttons/fields, then execute with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser. It also implicitly excludes expecting the API path by noting no documented EZ Lawn Biller API exists. There are no explicit when-not conditions or named sibling alternatives.

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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