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ruzora

Confirm a Work Email

confirm_work_email

Step 2: the 6-digit code the user read from the email, with the verification_id from verify_work_email (or the verification_id alone once they clicked the link), becomes a buyer_token for verified Ruzora actions, valid 7 days, and opens their Sol account. Sends the email and code to Ruzora.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoThe 6-digit code from the email, exactly as the user typed it
work_emailYesThe same work email given to verify_work_email
verification_idNoFrom verify_work_email: always pass it, with the code, or alone once the user clicked "Yes, this is me" in the email

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare the mutation/open-world/non-idempotent profile, and the description meaningfully adds to it: the result is a buyer_token valid 7 days, a Sol account is opened, and the email plus code are transmitted to Ruzora (a noteworthy data-disclosure behavior consistent with openWorldHint=true). It does not cover failure modes or whether the code is consumed on retry, so not a 5.

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

Conciseness3/5

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

It is a single dense sentence with no filler, which is efficient, but the grammar is tangled ('the 6-digit code ... becomes a buyer_token') and the actual action is buried after the outcome, making it harder to parse than a short imperative lead would be.

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?

With no output schema, the description usefully names the returned artifact (buyer_token, 7-day validity) and the account side effect, and it covers the two invocation modes for the 3 parameters. It omits error/edge handling (expired code, already-used verification_id, mismatch with verify_work_email), which keeps it from being fully complete.

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%, and the schema already explains that code is the 6-digit email code, work_email must match verify_work_email, and verification_id comes from that tool. The description restates the same facts rather than adding format, constraint, or fallback semantics, so the baseline 3 applies.

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 frames this as 'Step 2' of the email verification flow and names its sibling verify_work_email as the source of verification_id, so an agent can place it in the sequence. However, the action verb is never stated directly (the sentence's subject is 'the 6-digit code'), so the purpose is inferred from the title plus the flow position rather than cleanly declared.

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 gives concrete routing: pass code + verification_id together, or verification_id alone once the user has clicked the confirmation link. That is real when-to-use guidance tied to the sibling tool. It stops short of stating prerequisites or what to do on failure (e.g., expired or wrong code), so it is not fully explicit.

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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