Skip to main content
Glama
kubegrind

AOL Mail MCP Server

by kubegrind

send_email

Send an email message through AOL SMTP. Specify recipient, subject, and body; optionally add CC, BCC, or file attachments.

Instructions

Compose and send a new email via AOL SMTP.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesRecipient address(es), comma-separated for multiple.
subjectYesEmail subject line.
bodyYesPlain-text email body.
ccNoCC address(es), comma-separated (optional).
bccNoBCC address(es), comma-separated (hidden from all recipients, optional).
attachmentsNoLocal file path(s) to attach, comma-separated (optional). Example: "C:/Users/you/report.pdf,C:/Users/you/photo.jpg"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It only states 'compose and send', but omits critical behavioral details such as whether sending is immediate, what error scenarios exist, or any rate limits. This is insufficient for a mutation tool.

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

Conciseness4/5

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

The description is a single concise sentence with no fluff. However, it may be too brief, missing opportunities to add critical context without becoming verbose.

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?

Given the complexity of an email-sending operation (6 parameters, output schema present), the description is minimal. It does not explain authentication, sending behavior, or return value meaning. The presence of an output schema mitigates some need for return value explanation, but the lack of behavioral context is a gap.

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 coverage is 100%, so the schema already documents all parameters fully. The description adds no additional meaning beyond what the schema provides, so baseline 3 is appropriate.

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?

Clearly states the verb 'compose and send' and the resource 'a new email via AOL SMTP'. It naturally distinguishes from siblings like reply_email and move_email by specifying 'new email'.

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?

No explicit guidance on when to use this tool vs. siblings or prerequisites. The description relies on the tool name and sibling context, but fails to mention required authentication, SMTP configuration, or common alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kubegrind/aol-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server