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wylieswanson

apple-mail-mcp-server

by wylieswanson

list_accounts

Read-onlyIdempotent

Retrieve all configured email accounts in Apple Mail, including account IDs, names, email addresses, types, and enabled status.

Instructions

List all configured email accounts in Apple Mail.

Returns each account's id (UUID), display name, email addresses, account type, and enabled state. Account ids are stable across name changes; prefer them over names for identifying accounts.

Returns: Dictionary containing the accounts list.

Example: >>> list_accounts() {"success": True, "accounts": [ {"id": "B21B254B-...", "name": "Gmail", "email_addresses": ["me@gmail.com"], "account_type": "imap", "enabled": True}, ... ]}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false. The description adds return value details but no additional behavioral traits. No contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is concise, well-structured with sections for return details and an example. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple list tool with no parameters and an output schema, the description is complete. It explains return fields, includes a stability tip, and provides an example.

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?

No parameters, so schema coverage is 100%. Description adds value by explaining return values and providing an example, meeting the baseline for zero-parameter tools.

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 lists all configured email accounts in Apple Mail, specifies the returned fields (id, name, email addresses, type, enabled state), and distinguishes from sibling tools like list_mailboxes.

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?

Provides a usage hint about preferring account IDs over names due to stability, but does not explicitly state when to use this tool vs alternatives. The hint adds practical guidance.

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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