Skip to main content
Glama

reply_email

Respond to existing emails through macOS Mail using AI agents. Continue conversations from Claude, Cursor, or Windsurf while keeping all email data stored locally on your Mac.

Instructions

Reply to an existing email

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It fails to disclose whether the reply is sent immediately, saved as a draft, or requires user confirmation. It also does not address the suspicious absence of parameters (message ID, body content) that such an operation would logically require.

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?

Extremely concise single sentence with no redundant words. The information is front-loaded and direct, though minimal.

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 that replying to an email typically requires specifying the original message, composition body, and recipients, the description is inadequate. It does not compensate for the empty input schema or explain how the tool identifies the target email or captures reply content.

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?

The input schema contains zero parameters (empty properties object). Per evaluation rules, zero-parameter tools receive a baseline score of 4, as there are no parameters requiring semantic elaboration.

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?

States a clear verb-resource combination ('Reply to an existing email') that distinguishes from siblings like 'send_email' (new composition) and 'read_email' (viewing). However, it lacks specificity about the mechanism (e.g., whether it creates a draft or sends immediately).

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?

Provides no guidance on when to use this versus 'send_email' or 'outlook_send_email', nor does it address the critical gap of how to specify which email to reply to given the empty input schema.

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/lanchuske/local-mcp-releases'

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