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Aftab-web-dev

Email MCP Server

email_suggest_reply

Reads an email and provides formatted context for an AI assistant to draft a reply. Use with email_reply to send.

Instructions

Read an email and generate context for an AI reply. Returns the email content formatted for an AI assistant to draft a reply. The AI agent should then use email_reply to send.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoAdditional context about how to reply (tone, key points, etc.)
message_idYesMessage ID to suggest a reply for
Behavior3/5

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

No annotations provided, but description indicates a read-only operation without side effects. Could be more explicit about safety.

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, front-loaded with purpose, no wasted words.

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?

Describes return value despite no output schema. Parameters are documented. Complete enough for the tool's purpose.

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 covers both parameters with descriptions. The tool description does not add additional meaning beyond the schema, meeting baseline.

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 tool reads an email and generates context for an AI reply, distinguishing it from siblings by explicitly linking to email_reply.

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

Usage Guidelines4/5

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

Explicitly instructs to use email_reply after this tool, providing clear context. Does not list exclusions but the flow is apparent.

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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