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Schedule CSV in EZ Lawn Biller

ez_lawn_biller_schedule_csv
Read-onlyIdempotent

Schedule 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_schedule_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?

The description reinforces the read-only, side-effect-free profile declared in annotations ('opens nothing by itself') and, more valuably, discloses the reason browser automation is required — no documented public EZ Lawn Biller API, with the specific probes and 404s cited. That is context annotations cannot carry. It stops short of describing the shape or length of the returned instructions.

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 message arrives first, which is good, but the second sentence crams the return content and the follow-on tool call into one semicolon-joined clause. The closing API-availability sentence is evidentiary detail (specific URLs, a date, FAQ/manual references) that supports the browser workflow but is heavier than the decision 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 annotations already covering the safety profile, the definition supplies what an agent needs: what comes back, that nothing is executed, and which tool family performs the actual work. The remaining gap is minor — it does not say how the returned steps should be paced or verified after acting in the browser.

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 meaning to convey and the baseline of 4 applies. Nothing in the description conflicts with the empty schema.

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 is a guidance tool rather than an action: it returns step-by-step screens/buttons/fields for scheduling a CSV in EZ Lawn Biller and 'opens nothing by itself.' That verb+resource framing is specific, though the name 'schedule_csv' reads like an action tool, so a reader must resolve that tension from the text. It does not distinguish itself from near-neighbors such as ez_lawn_biller_schedule or ez_lawn_biller_schedule_jobs.

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 handoff: call this first for instructions, then perform the work with the cotlet_browser_* tools in the user's Cloud Browser. That is real when-to-use guidance. However, it offers no explicit exclusions or conditions for choosing between this and the many other schedule-related siblings, so the agent must infer the boundary.

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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