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de-Blanck

protonmail-mcp-server

by de-Blanck

Get Proton Mail Email

proton_get_email
Read-onlyIdempotent

Retrieve the full content of an email by its IMAP UID, including body text and attachment metadata. Use after listing or searching emails to read specific messages.

Instructions

Retrieve a single email's full content by its IMAP UID, including body text and attachment metadata.

Use proton_list_emails or proton_search_emails first to find the UID of the email you want to read.

Args:

  • folder (string): The folder containing the email (default: 'INBOX')

  • uid (number): The IMAP UID of the email

  • response_format ('markdown' | 'json'): Output format (default: 'markdown')

Returns: Full email with headers, body text, and attachment list. Does NOT return attachment binary data.

Examples:

  • "Read email 1234" -> proton_get_email({ folder: "INBOX", uid: 1234 })

  • "Show me that email from Alice" -> first search, then get by UID

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
folderNoMailbox folder containing the emailINBOX
uidYesThe IMAP UID of the email to retrieve
response_formatNoOutput format: 'markdown' or 'json'markdown
Behavior4/5

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

While annotations already provide readOnlyHint and idempotentHint, the description adds that it returns full email content but NOT attachment binary data, which is valuable behavioral context beyond annotations.

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?

Description is well-structured with sections for purpose, prerequisites, args, returns, and examples. Every sentence adds value, no redundancy.

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?

Despite no output schema, the description fully explains what the tool returns, what it does not (attachment binaries), and how to use it with examples. Completely addresses the tool's context.

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. However, the description adds meaningful context with parameter descriptions and examples, clarifying that uid comes from search/list and showing usage patterns.

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 'Retrieve a single email's full content by its IMAP UID', specifying a specific verb and resource. It also distinguishes from sibling tools by naming them as prior steps.

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 proton_list_emails or proton_search_emails first to get the UID, providing clear context for when and how to use this tool.

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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