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get-mail-message-mime

Read-only

Download an email message as raw MIME content to preserve headers, body, and attachments for archiving.

Instructions

Get an open extension (openTypeExtension object) identified by name or fully qualified name. The table in the Permissions section lists the resources that support open extensions. The following table lists the three scenarios where you can get an open extension from a supported resource instance.

đź’ˇ TIP: Download an email message as raw RFC 5322 MIME content (.eml format). Use this when archiving an email to disk preserving all original headers, body, and inline-encoded attachments. Returns the MIME stream as text. Find the message id with list-mail-messages first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeHiddenMessagesNoInclude Hidden Messages
messageIdYesPath parameter: messageId
fetchAllPagesNoFollow @odata.nextLink and merge up to 100 pages into one response. Can return enormous payloads—only when the user explicitly needs a full export. Prefer a small $top first, then paginate or narrow with $filter/$search.
includeHeadersNoInclude response headers (including ETag) in the response metadata
excludeResponseNoExclude the full response body and only return success or failure indication
Behavior3/5

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

Annotations already mark as readOnly. The description adds that it returns MIME stream as text, but the open extension part creates confusion. No contradiction with annotations.

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

Conciseness2/5

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

The description contains irrelevant information about open extensions, making it less concise. The tip is helpful but the overall structure is poor.

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

Completeness3/5

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

The description explains the return type and prerequisite, but the misleading first part and lack of parameter elaboration reduce completeness. Schema covers parameters.

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?

Input schema has 100% parameter descriptions, so baseline is 3. The description adds no additional parameter context beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description starts with an irrelevant statement about open extensions, which contradicts the tool's purpose of retrieving MIME content. The tip clarifies it, but the overall purpose is vague and misleading.

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

Usage Guidelines3/5

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

The tip advises using this tool for archiving emails and mentions finding the message ID first via list-mail-messages. However, it does not compare to alternatives like get-mail-message or specify when not to use.

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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