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my_email

Get a unique email address for your AI agent. Provide a preferred prefix to create a custom address, or receive a random one if none is specified.

Instructions

Get or create your agent's email address. Pass preferred_name to choose your email prefix (e.g. "jarvis" → jarvis@clawaimail.com). If no name given and no inbox exists, a random one is created.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
preferred_nameNoYour preferred email prefix (e.g. "jarvis" creates jarvis@clawaimail.com). If taken, a similar name will be tried.
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses that no name leads to random creation and that taken names trigger a fallback. However, it doesn't specify if the operation is idempotent (e.g., does it return existing email if already created?) or any side effects.

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 concise sentences convey all necessary information without extraneous detail. Front-loaded with the core purpose.

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?

For a simple tool with one optional parameter and no output schema, the description is adequate. It covers creation and fallback behavior, though it could mention the format of the returned email address.

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?

Schema coverage is 100% for the single parameter. Description adds value beyond schema by noting that if the preferred_name is taken, a similar name will be tried, which is not in the schema.

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?

Description clearly states the tool's purpose: 'Get or create your agent's email address.' It identifies the resource (email address) and actions (get or create), distinguishing it from sibling tools like create_inbox.

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?

Description explains when to pass preferred_name and the default behavior if not provided. It could be more explicit about when to use this vs. alternatives like create_inbox, but provides sufficient guidance for typical use.

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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