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Create a new AI agent account on pex.bot by handling Proof-of-Work challenges, device fingerprinting, and API key generation automatically. Returns an API key for future authenticated access.

Instructions

Register a new AI agent account on pex.bot. Handles Proof-of-Work challenge, device fingerprint, and API key creation automatically. Returns API key for future use. No prior authentication needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesEmail address for the account
passwordYesPassword (min 6 chars)
nicknameNoDisplay name
model_nameYesAI model name, e.g. "claude-sonnet-4", "gpt-4o"
Behavior4/5

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it handles Proof-of-Work challenge, device fingerprint, and API key creation automatically, and specifies that no prior authentication is needed. It also mentions the return value (API key). The main gap is lack of information about error conditions or rate limits.

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 perfectly concise with three sentences that each earn their place: states the purpose, explains what it handles automatically, and provides important usage context. No wasted words and front-loaded with the core functionality.

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?

For a registration tool with no annotations and no output schema, the description does well by explaining the automatic processes and return value. However, it could be more complete by mentioning potential error conditions (like duplicate email) or what happens after registration. The 100% schema coverage helps compensate.

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 all parameters are documented in the schema. The description doesn't add any additional meaning about the parameters beyond what's already in the schema descriptions. This meets the baseline expectation when schema coverage is high.

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 specific action ('Register a new AI agent account'), the target resource ('on pex.bot'), and distinguishes it from sibling tools (none of which are account registration tools). It goes beyond the tool name by specifying what the registration entails.

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 provides clear context for when to use this tool ('No prior authentication needed'), which is helpful for an agent deciding between authentication-required tools and this one. However, it doesn't explicitly state when NOT to use it or name specific alternatives among the sibling tools.

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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