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MadTaco MCP Server

MadTaco MCP Server

Official
by madtaco-dev
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
Hybrid

create_account

Create a MadTaco account by providing your email. A 6-digit verification code is sent to your email for confirmation, no API key required.

Instructions

Create a MadTaco account (agent-native signup). A 6-digit verification code is emailed — no API key yet.

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>"
    },
    "name": "create_account"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNoOptional display name.
emailYesAccount email (disposable domains rejected).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.3

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the burden of behavioral disclosure. It adds useful context: a 6-digit verification code is emailed and no API key is given yet. However, it omits other behavioral traits such as side effects (e.g., database writes), authorization requirements, or rate limits. Some gaps remain.

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

Conciseness5/5

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

The description is two sentences long, directly to the point, and front-loads the core action. Every sentence adds value: first sentence states what it does, second explains the unique outcome. No wasted words.

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?

Given the tool's simplicity (2 params, no nested objects, no output schema), the description is nearly complete. It explains the purpose and the verification process. Missing is any mention of the return value (e.g., success message or status) and what happens if the account already exists. Still, it covers the essential context for an agent to use it.

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?

The input schema covers 100% of parameter descriptions (e.g., 'Optional display name' and 'Account email (disposable domains rejected)'). The tool description adds no additional parameter-level meaning beyond the schema. With full schema coverage, the baseline is 3.

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?

The description clearly states the action ('Create'), the resource ('MadTaco account'), and the specific process ('agent-native signup'). It distinguishes the tool from sibling verification and lookup tools by noting that a verification code is emailed and no API key is provided yet.

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 implies usage for creating a new account, which is distinct from sibling tools (all verification/lookup). However, it does not explicitly state when not to use it or mention alternatives. The context is clear but lacks exclusions.

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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