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List Emails

list_emails
Read-only

Use this when the user wants to see or triage their inbox on this Mac (Apple Mail — any account added to Mail.app: iCloud, Gmail, IMAP, Exchange). Lists email headers (subject, sender, date, unread); call read_email(message_id) for the full body. For a Microsoft 365 mailbox NOT added to Mail.app, use m365_list_emails.

IMPORTANT: on machines with 2+ accounts, call with account= (from list_email_accounts). Without it, and when the fast index can't answer, list_emails returns the account list instead of scanning all of them — scanning every account in one call has no time limit and can block Mail for other requests too (#2268). Exactly 1 account is unaffected.

Supports pagination: use offset to page through results (e.g. offset=20 for page 2 with limit=20). The limit parameter is capped at 50 per call (default 20); to read more, page with offset rather than requesting a larger limit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo20
offsetNo0
accountNo
mailboxNo
unread_onlyNofalse

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
offsetNo
messagesNo
next_actionsNo

TDQS

A4.6/5.0
Behavior5/5

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

Beyond the readOnly hint, it discloses that list_emails may return the account list instead of messages when multiple accounts exist and account is omitted, and that scanning all accounts has no time limit and can block Mail. It also clarifies header-only output, which is exactly the kind of behavioral nuance annotations do not convey.

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?

The description is substantive yet tight: every paragraph adds a distinct decision or caveat, the important multi-account warning is visually separated, and there is no filler or repetition of schema/annotation information.

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 read-only list tool with an output schema, the description covers the essential routing, multi-account pitfall, and pagination behavior. It is only slightly incomplete because mailbox and unread_only are not explained, and the 'fast index' condition is left implicit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description is the only parameter documentation. It explains account, limit cap/default, and offset pagination with an example, but it leaves mailbox and unread_only undocumented; those rely on name inference. This is helpful but not complete for all five parameters.

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 opens with a specific user intent and resource: seeing/triaging the inbox in Apple Mail on this Mac. It enumerates the returned header fields and clearly differentiates from m365_list_emails by account type, so an agent can identify it among the large sibling set.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It states exactly when to use the tool, names the M365 alternative for mailboxes not in Mail.app, and gives direct account-selection guidance for multi-account machines. Pagination instructions also tell the agent how to page rather than requesting a large limit.

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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TDQS

A3.5/5.0
Disambiguation3/5

Many tools are clearly distinct per app (e.g., chrome_*, safari_*, m365_*), but there is notable overlap between generic file tools like `file_list` and `finder_list`, both listing files; `search_contacts` and `list_contacts` serve similar purposes; `report_friction` and `report_problem` both send feedback to the team. The large number of tools with similar purposes in different domains creates moderate ambiguity for an agent.

Naming Consistency4/5

The naming convention is very consistent overall: most tools follow a `{app}_action` or `verb_noun` pattern (e.g., `chrome_click`, `create_calendar_event`, `list_reminders`). There are minor deviations like `lmcp_install_upgrade` (two verbs) and `complete_omnifocus_task` vs. `complete_reminder` (inconsistent verb placement). Still, the pattern is predictable and readable across the full set.

Tool Count2/5

With 225 tools, the surface is extremely large and heavy. While it covers many distinct domains (browsers, mail, calendar, files, notes, reminders, video editing, web automation, etc.), the sheer number makes it hard to navigate and likely includes many rarely-used tools. This is far beyond the well-scoped range of 3-15 tools and feels excessive even for a 'local everything' MCP server.

Completeness3/5

For many app integrations, the tool set provides solid CRUD coverage (e.g., Calendar has create, read, update, delete; Apple Notes has create, read, update, list, search; OmniFocus has create, list, search, complete). However, some areas are incomplete: for example, there is no tool to create a new Mail folder or delete notes. The 'web' tools lack a clear update/delete for saved sessions. The suite is broad but has notable gaps within individual domains.