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Retry export in EZ Lawn Biller

ez_lawn_biller_retry_export
Read-onlyIdempotent

Retry export 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_retry_export"
  }
}

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, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful context beyond that: the tool 'opens nothing by itself' and returns procedural guidance rather than performing the retry, which resolves the mismatch between the action-oriented name and the read-only behavior. It does not describe the shape of the returned steps or any limits.

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 workflow is front-loaded and clear, but the trailing API-research paragraph (404s on /api, /developers, /docs, QuickBooks as the only integration) is verbose and mostly irrelevant to calling this specific tool. The sentences are long and clause-heavy, diluting 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 no parameters, no output schema and full annotation coverage, the description supplies what an agent needs: what it returns (step-by-step screens, buttons, fields) and what to do next. The API footnote is extra context rather than a missing piece; only minor detail about the return format is absent.

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. The baseline of 4 applies; no parameter gaps 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 names a specific verb+resource (retry export) and scopes it to the user's own EZ Lawn Biller account. It also makes clear the tool produces instructions rather than performing the action. It does not explicitly contrast itself with sibling export tools like ez_lawn_biller_export_report or retry_failed_notices, so it falls short of the top score.

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?

Clear workflow guidance: it returns step-by-step instructions and opens nothing, and the agent should then execute the steps with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser. That is a strong when/how-to-use statement. It lacks explicit when-not-to-use or a direct pointer to when a plain export sibling is preferable.

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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