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Jane App MCP Server and API by Cotlet

Send a Pay Balance email in Jane App

jane_app_send_a_pay_balance_email
Read-onlyIdempotent

Send a Pay Balance email in the user's own Jane App account from ChatGPT, Claude or any AI agent. Returns how to do it in Jane App step by step (screens, buttons, fields) and opens nothing by itself; then do it with the cotlet_browser_* tools in the user's Jane App Cloud Browser. Jane App's official API: Jane has an API, but only for approved Technology Partners (checked 27 Oct 2026).

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": "jane_app_send_a_pay_balance_email"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description is consistent with them by stating it 'opens nothing by itself'. Beyond the annotations it adds genuinely useful context: the return value is a step-by-step screen/button/field walkthrough, and Jane's official API is restricted to approved Technology Partners, which explains why browser automation is required.

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 fact — that it only returns instructions and performs nothing — is front-loaded and clear, but 'from ChatGPT, Claude or any AI agent' is marketing filler and the dated parenthetical '(checked 27 Oct 2026)' is noise that does not help an agent decide or invoke.

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, that it has no side effects, and which tools to use next. The only gap is that it does not say how the returned steps are structured or how granular they are, though this is minor.

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 for the description to carry. Baseline 4 applies; nothing is undocumented or misleading.

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?

States a specific verb and resource (send a Pay Balance email) and immediately clarifies the tool's real nature: it returns step-by-step instructions rather than performing the send. It also names the cotlet_browser_* tools as the actual executor. It does not, however, distinguish itself from the sibling cotlet_app_guide, which plausibly serves a similar guidance role.

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?

Gives a clear operational sequence: call this first to get the steps, then execute them with the cotlet_browser_* tools in the user's Cloud Browser. What is missing is any exclusion guidance or a pointer to when cotlet_app_guide or the dedicated jane_app_* tools would be the better choice.

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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