Skip to main content
Glama
Data-Wise

himalaya-mcp

by Data-Wise

send_email

Send an email template by first previewing then confirming to send. Requires user approval to prevent accidental sends.

Instructions

Send an email template. SAFETY: requires confirm=true to actually send. Without confirm, returns a preview. Always show the user the preview and get their approval before sending with confirm=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
templateYesThe full email template (MML format with headers and body). Get this from draft_reply output.
attachmentsNoLocal file paths to attach (e.g. ["/tmp/report.pdf"])
confirmNoSet to true to actually send. Without this, only shows a preview.
accountNoAccount name (uses default if omitted)
Behavior4/5

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

With no annotations, description carries full burden. It discloses the preview-send duality and safety requirement. Could mention return value or side effects, but the key behavioral trait is well covered.

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?

Two sentences with minimal waste. First sentence provides purpose, second sentence covers critical safety and workflow. Front-loaded and efficient.

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?

Given no output schema and 4 parameters, description adequately covers action, safety, and parameter details. Omits preview return format or success confirmation, but remains fairly complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Adds significant meaning beyond schema: explains template format (MML), source (draft_reply), attachment example, confirm semantics, and account defaulting. Each parameter gains context.

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 'Send an email template' (verb+resource). Distinguishes from siblings like compose_email or draft_reply by specifying the action of sending a template.

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 describes the required confirm parameter to actually send, and instructs the agent to always show preview and get approval before sending. Provides clear when-to-use and safety workflow.

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/Data-Wise/himalaya-mcp'

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