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hasan-imam

mcp-outlook-applescript

by hasan-imam

get_email

Retrieve complete email details including body content, attachments, messageId, and conversationId. Use after listing or searching emails to read the full message.

Instructions

Get full details of a single email including its body content. Use this after list_emails or search_emails to read the complete message. Returns all summary fields plus recipients, body (plain text when strip_html is true, the default), attachments list, messageId, and conversationId. Set strip_html to false to also receive the raw HTML in the htmlBody field. Returns an error if the email ID does not exist. Set include_body to false for metadata only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
email_idYesThe numeric email ID to retrieve (e.g., from list_emails or search_emails)
strip_htmlNoStrip HTML tags from the body, returning plain text. Defaults to true if omitted.
include_bodyNoInclude the email body content in the response. Defaults to true if omitted.
Behavior5/5

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

With no annotations provided, the description fully discloses return fields (summary fields plus recipients, body, attachments, messageId, conversationId), the effect of strip_html on output format, and the error condition for a non-existent email ID. This goes beyond the schema by explaining response behavior.

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 four sentences that all convey essential information, front-loaded with the core purpose. No redundant or filler content exists.

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?

Given no output schema and no annotations, the description covers the tool's purpose, usage context, parameter behaviors, and error handling sufficiently. It is complete for the tool's complexity.

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?

Schema coverage is 100%, so baseline is 3. The description adds meaning for strip_html by specifying the htmlBody field and for include_body by clarifying metadata-only behavior, improving upon the schema descriptions.

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 'Get full details of a single email including its body content,' using a specific verb and resource. It differentiates from sibling tools like list_emails and search_emails by stating it is the follow-up to read the complete message.

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?

Explicitly instructs to use this tool after list_emails or search_emails for complete message details. Also provides guidance on when to set strip_html=false and include_body=false, giving clear context for parameter selection.

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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