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Change charge date in EZ Lawn Biller

ez_lawn_biller_change_charge_date
Read-onlyIdempotent

Change charge date 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_change_charge_date"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and idempotentHint=true; the description reinforces this by stating it 'opens nothing by itself,' which resolves the apparent tension with the mutating-sounding name 'change charge date.' It also adds useful context about the absence of a public API, explaining why the browser tools are required. It does not describe the shape or length of the returned instructions, but the read-only profile is well covered.

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?

Front-loaded with the action and mechanism, followed by the required follow-up tool and a justification for the browser approach. The third sentence's API-probe detail (specific 404 paths and a lookup date) is more verbose than the agent strictly needs, but it does justify the architectural choice rather than being filler.

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 tool that returns procedural guidance, the description covers what it returns (screens, buttons, fields) and what to do next, which is what an agent needs. With no output schema, the return is still only described qualitatively — no format or example — which is the main residual gap.

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 (schema coverage 100%, empty object), so there is nothing for the description to disambiguate. The baseline for a parameterless tool applies, with the minor unaddressed question of how the target account/customer is identified given no 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?

Names a specific verb and resource — changing the charge date in the user's own EZ Lawn Biller account — and clarifies the exact mechanism (returns step-by-step guidance rather than performing the change). It does not explicitly contrast with nearby siblings such as change_saved_card or issue_charge, so an agent must infer the boundary from the resource name 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?

The description prescribes a clear two-step workflow: call this tool to get the screens/buttons/fields, then act via the cotlet_browser_* tools in the Cloud Browser. That is strong operational guidance. It stops short of stating when NOT to use it or naming which sibling handles adjacent date-related actions.

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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