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Export notice CSV in EZ Lawn Biller

ez_lawn_biller_export_notice_csv
Read-onlyIdempotent

Export notice CSV 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_export_notice_csv"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is partly covered, but the description adds real value by stating it 'opens nothing by itself' and enumerating the return shape (screens, buttons, fields). It also discloses the research basis for the API absence, which sets expectations about integration options. Minor gap: no statement about caching or freshness of the returned steps.

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 key behavioral clarification is front-loaded, which is good, but the closing sentence about the API research (404 paths, FAQ, QuickBooks) is lengthy and only tangentially relevant to invoking this tool. The middle clause about cotlet_browser_* tools is packed into an already dense sentence.

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, read-only guidance tool with no output schema, the description covers what it returns and what to do next. The one missing element is how the returned steps relate to the sibling preview/dry-run tools, but overall the agent has enough to call it correctly.

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 no parameter semantics to explain and the baseline is 4. Nothing in the description misleads about inputs.

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 the specific resource (notice CSV in EZ Lawn Biller) and immediately qualifies what the tool actually does: returns step-by-step instructions rather than performing the export. This contrasts with sibling action tools, though the name 'export' still slightly overstates the behavior. It is clear enough that an agent knows it is getting guidance, not a file.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives a clear follow-up path ('then do it with the cotlet_browser_* tools in the user's EZ Lawn Biller Cloud Browser'), which is useful routing. However, it offers no guidance on when to choose this over close siblings such as ez_lawn_biller_notice_preview or ez_lawn_biller_notice_dry_run, so the when-not conditions are left implicit.

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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