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confirm_domain_email_code

Confirm domain email verification by submitting the code sent to the corporate email address.

ACCESS: needs a Proof account. Authenticate this client (Claude Code: /mcp → Authenticate), or sign in with start_login — a session opens this tool — then call this tool again.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDomain ID
codeYesVerification code from the email

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the access requirement (Proof account) and the authentication prerequisite, which is useful. However, it doesn't disclose what happens on success or failure, whether the code is consumed, or any rate limits. The description adds some behavioral context but not comprehensive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and front-loaded with the core action. The access note is a second sentence that adds necessary context. No wasted words, though the authentication instructions could be seen as slightly verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter tool with no output schema, the description covers the essential flow: authenticate, get the code, submit it. It doesn't explain what happens after confirmation or how to handle errors, but the core invocation context is present. The sibling list includes related tools, and the description gives enough to distinguish this step.

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 description coverage is 100%, so the schema already documents both parameters ('Domain ID' and 'Verification code from the email'). The description adds minimal extra meaning beyond the schema, but it does clarify that the code is sent to the corporate email. Baseline 3 is appropriate.

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 states a specific verb and resource: 'Confirm domain email verification by submitting the code sent to the corporate email address.' This clearly distinguishes it from related tools like start_domain_email_verification and resend_domain_email. It doesn't explicitly name sibling tools, but the action is specific enough to be understood.

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: it is used after a code has been sent to the corporate email, and it mentions the prerequisite of authentication. It doesn't explicitly state when not to use it or name alternatives, but the flow is implied well enough for an agent to know when to invoke it.

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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