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Create a new Anythink platform account using email and password. After registration, confirm your email address to activate the account.

Instructions

Register a brand-new Anythink platform account with email and password. Use this only when the user has no account yet; if they already have one, use 'login' instead. This creates the top-level user identity — it does not create a billing account or project (do that with 'accounts_create' and 'projects_create' after logging in). On success the user may need to click an email confirmation link before 'login' works; tell them to confirm, then call 'login'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address — becomes the login identifier and must be unique
lastNameYesUser's last name
passwordYesPassword for the new account; choose a strong value
firstNameYesUser's first name
referralCodeNoOptional referral code, if the user was invited by another customer
Behavior5/5

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

No annotations exist, so the description carries full burden. It discloses that account creation requires email confirmation, that login will not work until confirmed, and that it is a top-level identity creation without billing/project. This is transparent and aligns with mutation behavior.

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?

A single paragraph with purposeful sentences, no redundancy. Front-loaded with purpose, then usage, then behavioral notes. Every sentence serves a function.

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 5 parameters, no nested objects, no output schema, the description covers purpose, usage, behavioral constraints, and post-conditions completely. No gaps.

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%, so baseline is 3. The tool description adds minimal extra context (e.g., email becomes login identifier, password should be strong), but does not significantly enhance understanding beyond the schema.

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 verb 'Register' and the resource 'brand-new Anythink platform account with email and password'. It explicitly distinguishes from sibling 'login' by specifying when to use each (only when no account yet).

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

Usage Guidelines5/5

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

Provides explicit when-to-use and when-not-to-use: use only if no account, else use 'login'. Also specifies what the tool does not do (create billing/project) and directs to 'accounts_create' and 'projects_create'. Includes post-registration steps (email confirmation, then login).

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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