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Quantum Cryptography Verification

quantum_cryptography_verification

Encrypt text with quantum-resistant (post-quantum) cryptography, for secrets that must outlast classical encryption. Returns a record ID and a decrypt URL. Costs $1.00 per call, paid in USDC over x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cqcv_dataYesAny text data you want to encrypt and verify
subscription_tokenNoOptional Cybercentry subscription token. Uses your plan quota instead of paying per call.

TDQS

A4.3/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses the cost ($1.00 per call, paid in USDC over x402), the output (record ID and decrypt URL), and the core function. This is adequate for a simple encryption tool, though it does not elaborate on data storage or limitations.

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 three short sentences that efficiently convey purpose, use case, and cost. There is no filler or redundant information, and key details are front-loaded.

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?

This is a straightforward paid encryption service. The description explains what it does, when to use it, what it returns, and its price, making it sufficiently complete for an agent to decide on invocation. No output schema exists, but the description compensates with return-value details.

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 both parameters (cqcv_data and subscription_token) with descriptions, achieving 100% coverage. The description adds no additional parameter-specific details, but the schema already provides the needed semantics.

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 tool encrypts text using quantum-resistant (post-quantum) cryptography, specifying the use case of protecting secrets that must outlast classical encryption. It distinguishes itself from sibling verification tools by focusing on encryption and returning a decrypt URL.

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 phrase 'for secrets that must outlast classical encryption' provides clear context for when to use this tool. It does not explicitly mention alternatives or exclusions, but the use case is well-delineated.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools target distinct domains (token, media, AI agent, wallet, web app, code), but `base_token_verification` and `ethereum_token_verification` are closely related and could be confused despite chain-specific descriptions. The informational tools (`list_services`, `recent_exploits`) are clearly separate.

Naming Consistency4/5

All tool names are lowercase snake_case, with the majority following a `[domain]_verification` pattern. The exceptions (`cyber_security_consultant`, `list_services`, `recent_exploits`) are still clear but deviate from the dominant suffix convention.

Tool Count5/5

12 tools is a well-scoped size for a multi-domain verification service. Each tool represents a distinct service category, and the count feels appropriately comprehensive without being bloated.

Completeness5/5

The tool surface covers major verification needs across tokens, code, media, AI agents, wallets, web apps, private data, and quantum-safe encryption. The addition of `cyber_security_consultant`, `list_services`, and `recent_exploits` provides context and support, leaving no obvious dead ends for typical use cases.

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