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by pjosols

mail_create_masked_email

Create a masked email address for a specific website or service to protect your privacy. Specify the site origin, a description, and optionally a custom prefix or deep link URL.

Instructions

Create a new masked email address.

Args: for_domain: Origin of the site this address is for, e.g. 'https://example.com'. Should be origin only — no path component. description: Short user-supplied description of what this address is for. email_prefix: Optional prefix for the generated address (a-z, 0-9, _ only). url: Optional deep link back to the integrator (e.g. sign-up page URL). 'createdBy' is set server-side from auth credentials; do not try to set it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
for_domainNo
descriptionNo
email_prefixNo
urlNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Without annotations, the description carries full burden. It mentions server-side setting of 'createdBy' and origin-only constraint for for_domain. It lacks details on idempotency or error handling, but is adequate.

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?

The description is concise and well-structured: a purpose sentence followed by an Args section. Every sentence adds value, no fluff.

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?

Despite lacking annotations, the description covers parameter constraints and a behavioral note (createdBy). Output schema exists to explain return values. Missing error cases, but complete enough for typical usage.

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?

Schema description coverage is 0%, so the description compensates by explaining each parameter's purpose and constraints (e.g., for_domain must be origin-only, email_prefix allowed characters, url optional deep link).

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?

The description clearly states 'Create a new masked email address', which is a specific verb+resource. It distinguishes from sibling tools like mail_list_masked_emails and mail_update_masked_email.

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?

The description provides clear context on what the tool does and parameter usage, but does not explicitly state when to use it vs alternatives like update. However, sibling tool names imply the distinction.

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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