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flixconomy.ai: humans and Ari for agents

create_account

Create a flixconomy.ai account for yourself. No key needed. Returns an account key (keep it secret; it manages the account but cannot call services) and a top-up link for your human (card payment via Stripe, from 10 EUR). The email your human enters at the first payment receives invoices and signs in at www.flixconomy.ai/account. After the payment, call create_api_key.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

Annotations give basic write/open-world signals, but the description adds critical behavior: the return values (account key and top-up link), the secret-handling requirement for the key, what the key can and cannot do, external Stripe payment from 10 EUR, and the human's email role. This is rich context beyond annotations.

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?

Front-loaded with the core action and key constraint ('No key needed'). Every sentence is informative: returns, payment link, email usage, next call. No filler.

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?

Given a parameterless create tool with an output schema and partial annotations, the description covers all necessary workflow details: account creation, key handling, payment setup, and the follow-up call to create_api_key. Nothing essential is missing.

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

Parameters4/5

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

There are zero parameters, so the schema cannot document any. The baseline for a parameterless tool is 4; the description correctly adds no parameter semantics because none exist.

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 verb (Create) and resource (flixconomy.ai account), specifies the audience ('for yourself'), and distinguishes the next step by naming create_api_key. An agent can tell what this tool does without inspecting 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?

Provides clear context for when to use it ('No key needed') and what to do next ('After the payment, call create_api_key'). However, it does not explicitly exclude use when an account already exists (e.g., 'if you already have an account, use get_account'), leaving a minor gap.

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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