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Microsoft 365 Reply Email

m365_reply_email

Use this when the user wants to reply to a Microsoft 365 email (message ID from m365_list_emails). Requires a connected M365 account. Shows a preview first — set confirm=true to actually send. For replying to a message found in Apple Mail, use reply_email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesMessage ID to reply to (from m365_list_emails or m365_read_email)
confirmNoSet to true to actually send (default: shows preview only)
messageYesYour reply text
reply_allNoIf true, reply to all recipients (default: false)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okNo
messageNo

TDQS

A4.7/5.0
Behavior5/5

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

The description discloses a key behavioral trait not present in annotations: it shows a preview first and only sends when confirm=true. It also notes the account requirement. This adds valuable context beyond the readOnlyHint/destructiveHint annotations, which only indicate non-read-only and non-destructive.

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 purpose and immediate usage context. Every sentence adds value: purpose, source of ID, prerequisite, behavioral flow, and alternative. No unnecessary words.

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?

The description fully covers purpose, usage guidelines, prerequisites, behavioral nuance (preview/confirm), and alternative. With full schema coverage and an output schema present, the agent has all necessary information to select and invoke the tool correctly.

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?

The input schema has 100% coverage, providing descriptions for all four parameters. The description's mention of 'message ID from m365_list_emails' is redundant with the schema's description. No additional semantic meaning is added beyond the schema, so the baseline of 3 is appropriate.

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: to reply to a Microsoft 365 email, referencing the message ID from m365_list_emails. It uses the specific verb 'reply' with a defined resource and explicitly distinguishes from the sibling tool reply_email for Apple Mail.

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?

The description provides explicit when-to-use guidance ('Use this when the user wants to reply to a Microsoft 365 email'), states a prerequisite (connected M365 account), and names an alternative tool for Apple Mail ('use reply_email'). This directly helps the agent choose among siblings.

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.