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HPSILab Quant Finance

by io.github.haiyunsky

Register a Free Account

register_account

Register a free hpsilab account for yourself, with no human involvement, and receive an API key immediately.

Call this when you are hitting anonymous daily limits and want a higher
allowance. You do not need a password, a wallet, or a web browser. The
account is bound to you server-side, so calls you make after this are
metered as your account even though you cannot change your own
Authorization header.

Registering keeps the anonymous daily allowance until the email address is
confirmed; confirming it unlocks the full Free plan. Ask the human you are
working with to click the link in the email that will arrive.

A valid user email address is required. Do not call this tool with an
empty or fabricated email address. If the user's email is unavailable,
ask the user to provide it before calling register_account.

Args:
    email: The real user email address that will receive verification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYes

TDQS

A5/5.0
Behavior5/5

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

The description adds meaningful behavioral context beyond the annotations: explains that the account is server-side bound and that the Authorization header cannot be changed, describes the email confirmation flow, and notes that the anonymous allowance persists until confirmation. This adds significant insight not present in the 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?

The description is well-structured: first sentence states the purpose, then usage context, then prerequisites/constraints, then parameter details. Every sentence contributes value without redundancy. It is appropriately sized for a tool with side effects and user interaction requirements.

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 registration tool with one parameter and no output schema, the description covers all necessary aspects: what it does, when to use it, what the user must provide, what happens after (email confirmation), and the immediate result. It is fully self-contained and leaves no critical gaps.

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

Parameters5/5

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

The schema provides only the parameter name and format, but the description clarifies it as 'The real user email address that will receive verification.' This adds crucial meaning about the expected value (real, not fabricated) and its role in the verification process.

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 opens with a clear, specific action: 'Register a free hpsilab account for yourself' and states the immediate outcome ('receive an API key immediately'). It clearly distinguishes this from the sibling stock-analysis tools by focusing on account registration.

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?

Explicitly tells when to use: 'Call this when you are hitting anonymous daily limits and want a higher allowance.' Provides exclusions: 'Do not call this tool with an empty or fabricated email address' and advises asking the user for email first if unavailable. This gives both positive and negative usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All HPSILab Quant Finance toolsInspect
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TDQS

A4.4/5.0
Disambiguation5/5

Every tool has a clearly distinct purpose, from individual analytics like AI prediction and IV radar to aggregation and report generation. No overlapping functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case, with verbs like get_, generate_, and analyze_. No mixing of conventions.

Tool Count5/5

9 tools is well-scoped for a quant finance server, covering diverse analytics and outputs without being excessive or sparse.

Completeness4/5

Covers major quant finance analyses and reporting. Minor gap: no raw data access tools, but the surface is comprehensive for the intended use case.

Resources