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marius-cetanas

macos-mail-mcp

save_attachment

Save a specific attachment from an Apple Mail message to a local folder. Provide the message ID, mailbox, account, and attachment name, and optionally set the destination directory.

Instructions

Save a specific attachment from a message to disk.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
savePathNoThe directory path to save the attachment to (default ~/Downloads)~/Downloads
messageIdYesThe numeric ID of the message
accountNameYesThe name of the account containing the mailbox
mailboxNameYesThe name of the mailbox containing the message
attachmentNameYesThe name of the attachment to save

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed3 schema fields changedv1.3.2
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / messageId / maximum
      Added value: +9007199254740991
    • addedInput schema / properties / messageId / minimum
      Added value: +-9007199254740991
  2. First observedv1.2.0

TDQS

A3.5/5.0
Behavior2/5

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

There are no annotations provided, so the description carries the full burden of behavioral disclosure. It only says the attachment is saved 'to disk,' but does not disclose whether existing files are overwritten, whether directories are created, required permissions, or what the tool returns on success or failure.

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 a single front-loaded sentence with no filler, repetition, or unnecessary detail. It communicates the core operation immediately and every word is functional.

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?

For a relatively simple tool with full schema coverage, the description is close to sufficient. However, given the absence of an output schema and annotations, an agent receives no guidance about return values, overwrite behavior, or potential error conditions, which leaves some real gaps.

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%, so all five parameters are already documented in the schema, including the default for savePath. The description adds no extra parameter-level semantic detail, safely resting at the baseline given full schema coverage.

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 a specific action ('save') on a precise resource ('a specific attachment from a message') and its destination ('to disk'). It also differentiates itself from sibling tools: 'specific' excludes save_all_attachments and 'save' distinguishes it from read_attachment.

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 description gives a clear intent — saving a single attachment — so an agent can infer when to use it. However, it does not explicitly mention alternatives such as save_all_attachments for saving every attachment, read_attachment for just viewing, or any when-not-to-use conditions.

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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