Apple Mail MCP Server

by isityael

Overview Schema Source Related Servers Discussions Admin

Python

Local

get_inbox_overview

Get a complete view of your inbox with unread email counts by account, mailbox list, and AI-powered action suggestions.

Instructions

Get a comprehensive overview of your email inbox status across all accounts.

Returns: Comprehensive overview including: - Unread email counts by account - List of available mailboxes/folders - AI suggestions for actions (move emails, respond to messages, highlight action items, etc.)

This tool is designed to give you a complete picture of your inbox and prompt the assistant to suggest relevant actions based on the current state.

User Preferences: {"workflow": "default", "notifications": "enabled"}

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": "get_inbox_overview"
  }
}

Input Schema

Name	Required	Description	Default
No arguments

Output Schema

Name	Required	Description	Default
`result`	Yes

Schema Changelog

Changes observed during successful MCP inspections.

First observedv2.6.1Jul 29, 2026

TDQS

A3.9/5.0

Behavior3/5

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

No annotations provided, so the description must convey behavioral traits. It states the tool returns an overview and AI suggestions, but does not disclose whether it is read-only, if it triggers side effects, or any rate limits. The mention of 'prompt the assistant to suggest relevant actions' implies some behavioral impact, but not fully transparent.

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 description is moderately concise, with a clear purpose sentence followed by a bulleted list of returns. It front-loads the main verb and resource. The inclusion of 'User Preferences' at the end is slightly extraneous but not damaging. Could be slightly tighter, but overall well-structured.

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?

Given zero parameters and an output schema (mentioned in context), the description covers the essential purpose and adds value by enumerating return elements including AI suggestions. It feels complete for the tool's simplicity, though the user preferences line seems out of place.

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 has no parameters, and the input schema is empty with 100% coverage. The description adds no parameter meaning (none needed), but notes the overview is 'across all accounts,' confirming no filtering. Baseline for 0 parameters is 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Get a comprehensive overview of your email inbox status across all accounts.' It specifies the verb ('Get') and resource ('inbox overview across all accounts'), and distinguishes itself from sibling tools like get_unread_count or list_inbox_emails by emphasizing comprehensiveness and AI suggestions.

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?

The description implies when to use this tool (for a full inbox overview and AI suggestions) but does not explicitly state when not to use it or provide comparisons to alternatives. It lists what it returns, which gives context, but falls short of explicit guidelines.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.