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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?

Annotations already flag this as non-read-only and non-destructive, so the safety profile is partly covered. The description adds valuable behavioral context by requiring a Proof account and describing the auth sequence, but says nothing about failure modes (wrong/expired code), side effects of confirming, or whether the operation is reversible.

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?

Purpose is front-loaded in one sentence, followed by a clearly labeled ACCESS block. The auth note is somewhat verbose with client-specific detail, but every sentence contributes actionable information.

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 non-destructive mutation with annotations and no output schema, the description covers purpose, the prerequisite account/auth flow, and how to resume after sign-in. The remaining gap is what confirmation returns or how verification status changes, which is acceptable given the missing output schema.

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 coverage is 100%, so both parameters (id, code) are already documented in the schema. The description reinforces that the code comes from the corporate email but adds no syntax, format, or length detail beyond what the schema provides. Baseline 3 when the schema does the heavy lifting.

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 (confirm) and resource (domain email verification) plus the mechanism (submitting the code sent to the corporate email address). It is clear what the tool does, though it does not explicitly name the closest siblings (submit_verification_code, check_domain_email_status) to help disambiguate.

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?

It supplies an explicit access precondition and workflow: authenticate the client or sign in via start_login, then call this tool again. This tells the agent when the tool is callable. It stops short of contrasting with the similarly named submit_verification_code, so it is not a full when-vs-alternative guide.

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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