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Get Gmail Attachment Content

get_gmail_attachment_content

Download email attachments from Gmail to local disk. Get file path or temporary download URL; optionally receive base64 content.

Instructions

Downloads an email attachment and saves it to local disk.

In stdio mode, returns the local file path for direct access. In HTTP mode, returns a temporary download URL (valid for 1 hour). May re-fetch message metadata to resolve filename and MIME type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
message_idYesThe ID of the Gmail message containing the attachment.
attachment_idYesThe ID of the attachment to download.
user_google_emailYesThe user's Google email address. Required.
return_base64NoWhen True, includes the full attachment as a standard base64 string in the response (in addition to any file path or download URL). Useful for sandboxed clients that cannot reach localhost download URLs or the MCP server's local file paths (e.g. containerized agents with network allowlists). The returned base64 uses the standard alphabet, so it can be passed directly to tools like ``draft_gmail_message`` that expect standard (not URL-safe) base64. Default False preserves the existing behavior and response size.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations are minimal, but the description adds behavioral context like 'May re-fetch message metadata to resolve filename and MIME type', which goes beyond the annotations. No contradictions.

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?

Three sentences, front-loaded with the main action, followed by mode-specific behavior and a note on metadata re-fetching. No wasted words.

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?

Output schema exists, so return values are covered. Description explains modes and base64 option. Could mention exact response format more explicitly, but sufficient for selection and use.

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?

With 100% schema coverage, baseline is 3. The description adds meaningful context for return_base64, explaining its utility for sandboxed clients, which enhances understanding beyond the schema.

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 states 'Downloads an email attachment and saves it to local disk' with a specific verb and resource, clearly distinguishing it from siblings like get_gmail_message_content or download_chat_attachment.

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

Usage Guidelines4/5

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

The description explains when to use stdio vs HTTP modes and the return_base64 parameter for sandboxed clients, but does not explicitly state when not to use this tool or list alternatives.

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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