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Base Token Verification

base_token_verification

Check a Base token contract before buying: detects honeypots, armed freeze-and-seize, a live pause, fake B20s and ticker-impersonation copycats, and separately discloses issuer controls (admin centralisation, supply cap, transfer policy, rebase) so a legitimate token is not mistaken for a scam. Costs $1.00 per call, paid in USDC over x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNobase for mainnet (default), or base-sepolia to check a token before you launch it
contract_addressYesB20 token contract address
subscription_tokenNoOptional Cybercentry subscription token. Uses your plan quota instead of paying per call.

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure and does so well. It explicitly lists what the tool detects, separately discloses issuer controls, and transparently states the cost and payment method ($1.00, USDC over x402). It does not contradict any annotations because none are provided.

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 two sentences, front-loaded with the core purpose, and every sentence provides valuable information. There is no redundancy or fluff; the cost and payment details are included efficiently.

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?

The description explains what the tool does, when to use it, what it detects, and the cost. While there is no output schema, the description implies the output through phrases like 'detects' and 'discloses issuer controls.' It could be improved by explicitly mentioning the return format, but overall it is sufficiently complete for a verification tool.

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 schema already provides 100% coverage with descriptions for all three parameters, so the baseline is 3. The tool description adds context about Base and B20 tokens, which indirectly clarifies the 'chain' parameter, but it does not add specific parameter-level semantics 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 tool's purpose with a specific verb ('Check'), the resource ('Base token contract'), and the context ('before buying'). It details specific detection categories (honeypots, freeze-and-seize, pause, fake B20s, impersonation) and distinguishes itself from the sibling ethereum_token_verification by targeting the Base chain and B20 tokens.

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 gives a clear usage context ('before buying') and specifies the target chain (Base), implying when to use it. It also mentions the $1.00 cost, aiding decision-making. However, it does not explicitly state when not to use it or name alternative tools, leaving some ambiguity versus the similar Ethereum verification sibling.

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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