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jdickey1

IMAP Email MCP Server

by jdickey1

list_drafts

Retrieve draft emails from your IMAP mailbox to review, edit, or manage pending messages before sending.

Instructions

List all draft emails

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of drafts to return (default: 20)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('List all draft emails') but lacks details on permissions, rate limits, pagination, or return format. This is inadequate for a tool that likely interacts with user data, leaving significant gaps in understanding its 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 a single, efficient sentence with zero waste—'List all draft emails' is front-loaded and directly conveys the core function. Every word earns its place, making it highly concise and well-structured.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't address behavioral aspects like safety, data handling, or response format, which are crucial for a list operation. For a tool with minimal structured data, more context is needed to be fully helpful.

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?

The input schema has 100% description coverage, with the 'limit' parameter fully documented. The description adds no parameter-specific information beyond what the schema provides, so it meets the baseline of 3 for high schema coverage without compensating value.

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

Purpose4/5

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

The description 'List all draft emails' clearly states the verb ('List') and resource ('draft emails'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'list_emails' or 'get_draft' beyond the resource type, missing explicit scope or functional distinctions.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives such as 'list_emails' (for non-draft emails) or 'get_draft' (for a specific draft). There's no mention of prerequisites, context, or exclusions, leaving usage entirely implied from the tool name alone.

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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