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Finish sign-up with a code

signup_verify

Getting set up: use this after signup_start when the person reads you the 6-digit code from their email. Send the email and the code. Returns an Andru API key for this agent.

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": {
      "email": "<email>",
      "code": "<code>"
    },
    "name": "signup_verify"
  }
}

Input Schema

NameRequiredDescriptionDefault
codeYesThe 6-digit code from the email.
emailYesThe email the code was sent to.
foundViaNoOptional: how the person or their agent found Andru: moltbook, a2a_directory, mcp_registry (includes Smithery), npm, search, ai_assistant, person or other. Other text is kept as written.
agentNameNoOptional: your agent's name. The key is named after it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false and destructiveHint=false, so the mutation posture is already known; the description adds the non-obvious side effect that this call mints an API key for the agent, which is the key behavioral fact. It does not cover failure behavior, code expiry, or rate limits, so it's not complete.

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?

Three short sentences, front-loaded with the trigger and the outcome, with no padding. The 'Getting set up:' prefix is a minor category tag that adds little, but nothing else is wasted.

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

Completeness5/5

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

For a 4-parameter, non-destructive mutation with no output schema, the description supplies what an agent most needs: the prerequisite step, the trigger, and what comes back (an API key). Remaining details like invalid/expired code handling are low-impact for a straightforward verification call.

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 required parameters and the two optional ones (foundVia, agentName) are already fully documented in the schema. The description only restates 'send the email and the code' and adds no format or validation detail beyond that, so the baseline 3 applies.

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?

States a specific action (verify the 6-digit sign-up code), the required inputs (email + code), and the concrete outcome (returns an Andru API key for this agent). It also names the preceding sibling step signup_start, so an agent can place it in the flow without opening the schema.

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?

Explicitly gives the trigger condition: call it after signup_start, once the person reads the code from their email. That's a clear when-to-use signal. It stops short of naming what NOT to do or pointing at signup_status for people who haven't received a code, so it isn't a full routing rule.

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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