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Save notice draft in EZ Lawn Biller

ez_lawn_biller_save_notice_draft
Read-onlyIdempotent

Save notice draft 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_notice_draft"
  }
}

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?

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true and openWorldHint=false, so the safety bar is lower. The description still adds real value by stating the return shape (step-by-step screens, buttons, fields) and that it 'opens nothing by itself', which tells the agent no side effect occurs on the user's account. The API-availability paragraph further explains why browser tools are required, though it does not cover rate limits or failure modes.

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 purpose and the handoff to cotlet_browser_* tools are front-loaded, which is good structure. However, the description spends a full sentence on API research provenance (specific 404 URLs, a date, FAQ and manual references to QuickBooks) that is background justification rather than call-time guidance, and 'from ChatGPT, Claude or any AI agent' is filler. It is longer than the decision-relevant content 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?

With no parameters, no output schema and full annotation coverage, the description carries only the burden of explaining what comes back and what to do next, and it does both (step-by-step instruction payload; follow up with browser tools). It is nearly complete for this complexity. The remaining gap is that it never positions itself against the sibling draft tools, leaving an agent unsure whether a pure-instruction tool or a real draft-creation tool is the right call.

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 (additionalProperties:false, empty properties), so there is nothing for the description to disambiguate. Baseline for a 0-parameter tool applies, and the description correctly does not invent argument semantics. No meaningful gap exists here.

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 and resource (save a notice draft in the user's EZ Lawn Biller account) and then disambiguates the actual mechanic: 'Returns how to do it ... step by step (screens, buttons, fields) and opens nothing by itself.' That resolves the mismatch between the name and readOnlyHint. It loses a point because it never distinguishes this from closely related siblings such as ez_lawn_biller_create_a_draft or ez_lawn_biller_apply_draft_to_live, so an agent still cannot rule those out from the text alone.

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 gives explicit sequencing guidance: the tool yields instructions, 'then do it with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser.' That clearly tells the agent this is a prerequisite step rather than the action itself. It stops short of a 5 because there is no when-not-to-use clause or comparison against the ez_lawn_biller_* draft siblings that appear to cover adjacent intent.

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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