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send_email

Compose and send a new email directly from the macOS Mail app using an AI agent.

Instructions

Compose and send a new email

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • The handler for send_email is a stub implementation that returns a message directing the user to install the real Local MCP native binary. All tools share the same stub handler.
      server.tool(name, desc, {}, async () => ({
        content: [{ type: "text", text: "This is an inspection stub. Install Local MCP: npx -y local-mcp@latest setup" }],
      }));
    }
  • server.js:104-106 (registration)
    The send_email tool is registered in the TOOLS array at line 16 and iterated over at line 106-110 to register with the MCP server.
    ];
    
    for (const [name, desc] of TOOLS) {
  • The schema for send_email is an empty object {} (no parameters defined in this stub).
    server.tool(name, desc, {}, async () => ({
Behavior2/5

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

With no annotations, the description must disclose behavioral traits, but it only says 'compose and send'. It omits details like whether it opens a compose window, requires authentication, supports attachments, or sends immediately. Minimal behavioral information.

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?

Single sentence with no unnecessary words. Extremely concise and front-loaded.

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?

For a 'send email' tool with no parameters defined, the description should at least hint at required inputs or expected behavior. It is too minimal and leaves the agent with many unknowns.

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 no parameters, so the description does not need to add parameter info. Schema description coverage is 100% (by default since no parameters). However, the lack of parameters suggests the tool may rely on user interaction or defaults, which is not explained.

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 clearly states it composes and sends an email, but does not differentiate from sibling tools like outlook_send_email or reply_email, which perform similar functions. It lacks specificity about the email service or context.

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?

No guidance on when to use this tool versus alternatives (e.g., outlook_send_email, reply_email). The description does not mention any prerequisites or conditions.

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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