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New estimate in EZ Lawn Biller

ez_lawn_biller_new_estimate
Read-onlyIdempotent

New estimate 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_new_estimate"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so the description only has to add what those annotations cannot. It does add value by stating that no state is changed ('opens nothing by itself') and by documenting that no public API exists. Beyond that, it says nothing about the form or reliability of the returned instructions (for example, whether these instructions cover every estimate type or whether a Cloud Browser session is required).

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 core purpose and the follow-up path are front-loaded in the first sentence, and the schema is empty, so the definition is appropriately brief. The trailing API-audit paragraph (404 URLs and a specific date) is finer-grained evidence than an agent needs in order to decide to call the tool, so it slightly dilutes the definition rather than sharpening it.

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, no-output-schema advisory tool, the definition covers what the returned content is and what to do with it. The remaining gap, namely how the returned steps are shaped and whether they are generic or tailored, matters less because there are no inputs that could tailor them. Completeness is adequate for a routing and instruction 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 and the schema coverage is 100%, so there is no parameter semantics to explain; the baseline is 4. The description correctly avoids inventing parameter detail that does not exist.

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 the actual deliverable explicit: it 'Returns how to do it in EZ Lawn Biller step by step (screens, buttons, fields)', which reframes what the name 'new_estimate' would otherwise imply. It also states plainly that it 'opens nothing by itself', so the agent knows this is advisory, not an action. It does not, however, distinguish itself from the closely named sibling ez_lawn_biller_estimate_help, leaving residual ambiguity about what that sibling does differently.

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?

Usage is directed clearly: read the returned steps, 'then do it with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser'. That names the alternative execution path and the condition that selects it. What is missing is when not to use this tool, such as how it relates to the similarly scoped estimate_help sibling.

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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