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Undo cancellation in EZ Lawn Biller

ez_lawn_biller_undo_cancellation
Read-onlyIdempotent

Undo cancellation 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_undo_cancellation"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The statement 'opens nothing by itself' is consistent with readOnlyHint=true and destructiveHint=false and reinforces that this is a guidance-only call, which is genuinely useful. It adds little else beyond the annotations – no detail on the shape or length of the returned instructions, and the API-absence research note is background rather than behavior.

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?

The core meaning is front-loaded in the first sentence, and the second sentence delivers the crucial action/guidance distinction before anything else. The closing sentence about 404'd API endpoints is longer than its decision value warrants and could be trimmed.

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 guidance tool with no output schema, the description covers what it returns (screens, buttons, fields) and how to act on it (cotlet_browser_* tools). An agent has enough to call it correctly, with only minor gaps around what the returned steps look like in practice.

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 and the schema is empty with additionalProperties false, so there is nothing for the description to disambiguate. Baseline 4 applies; declaring that it operates on 'the user's own EZ Lawn Biller account' implicitly scopes the call without contradicting 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 uses a specific verb and resource ('Undo cancellation in EZ Lawn Biller') and immediately clarifies the actual deliverable: it returns step-by-step instructions rather than performing the reversal. That distinguishes it in kind from action tools in the sibling list, though it never names a sibling such as ez_lawn_biller_cancel or ez_lawn_biller_undo to sharpen the contrast.

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 tells the agent the workflow: call this to get the steps, then execute them with cotlet_browser_* in the EZ Lawn Biller Cloud Browser. That is useful sequencing guidance, but there is no explicit statement of when NOT to use it or which sibling to prefer if the agent wants a different, more direct undo path.

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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