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accounts_security_confirmations_verify

Destructive

Verifies an emailed one-time code for account security actions such as enabling TFA, disabling TFA, or regenerating backup codes without consuming the code.

Instructions

Verify an email code without consuming it POST /accounts/me/security-confirmations/verify

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "body": "<body>"
    },
    "name": "accounts_security_confirmations_verify"
  }
}

Input Schema

NameRequiredDescriptionDefault
bodyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

C2.6/5.0
Behavior2/5

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

The description contributes one real behavioral fact — the code is not consumed — which is useful. However, annotations declare destructiveHint=true, readOnlyHint=false and idempotentHint=false, and the description says nothing about side effects, rate limits, lockout/attempt behavior, or what happens to the pending action; the "non-consuming" framing is also in tension with the destructive annotation and is left unexplained.

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?

Two lines, verb-first, with no filler. The raw HTTP route is of marginal value to an agent but is short and does hint at the endpoint's scope, so it does not seriously hurt the score.

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

Completeness1/5

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

For a security-sensitive tool with no output schema and no annotations that explain the response shape, the description omits the single most important fact: what a successful verification returns and how failure differs (invalid code vs. expired vs. wrong action). What the agent should do after verifying is also unstated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for the single nested body object, and the description adds nothing about its fields. In particular, the `action` enum (enable_tfa, disable_tfa, regenerate_backup_codes) is never mentioned, so an agent gets no help understanding that verification is scoped to a specific pending security action.

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?

States a specific verb and resource ("Verify an email code") plus a meaningful scope qualifier ("without consuming it"), which tells an agent this is a pre-check rather than the confirming action itself. It is distinguishable from accounts_security_confirmations_request at a glance, though it never explains what the verification result means.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use guidance: nothing says a code must first be obtained via accounts_security_confirmations_request, nor when to prefer this over performing the actual action directly. The phrase "without consuming it" hints at a dry-run/pre-validation role, but the agent must infer that entirely.

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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