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Microsoft 365 Read Email

m365_read_email
Read-only

Use this when the user wants the full content of a Microsoft 365 email (message ID from m365_list_emails/m365_search_emails). Requires a connected M365 account. For a message found via list_emails/search_emails (Apple Mail), use read_email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe email message ID from m365_list_emails or m365_search_emails

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
ccNo
idNo
toNo
bodyNo
dateNo
fromNo
is_readNo
subjectNo
from_addressNo

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds useful context by specifying 'Requires a connected M365 account' and clarifying that it retrieves 'full content' (as opposed to metadata), which goes beyond the annotation safety profile. However, it does not describe output format or potential errors, so a perfect score is not warranted.

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 two sentences, front-loaded with the primary use case, and then provides a clear alternative. Every sentence adds value, with no redundancy or filler.

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?

This is a simple tool with one parameter, read-only behavior, and an output schema present (as indicated by context signals). The description covers the prerequisite (connected M365 account) and the source of the required ID, leaving no significant gaps for a tool of this complexity.

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?

Schema description coverage is 100%: the only parameter 'id' is fully described in the schema as 'The email message ID from m365_list_emails or m365_search_emails.' The description repeats this source ('message ID from m365_list_emails/m365_search_emails') without adding new semantics, so it does not enhance the schema baseline.

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: 'Use this when the user wants the full content of a Microsoft 365 email.' It specifies the resource (email), the verb (read/full content), and explicitly distinguishes from the sibling tool read_email (Apple Mail) via 'For a message found via list_emails/search_emails (Apple Mail), use read_email.'

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?

Provides explicit when-to-use guidance: 'Use this when the user wants the full content of a Microsoft 365 email (message ID from m365_list_emails/m365_search_emails).' It also gives a clear alternative for Apple Mail messages, naming read_email as the correct sibling, and states the prerequisite of a connected M365 account.

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.