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Solidity Code Verification

solidity_code_verification

Audit Solidity smart contract source for vulnerabilities before you deploy or call it. Returns findings with a clear risk level. Costs $1.00 per call, paid in USDC over x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
solidity_codeYesSolidity Code
subscription_tokenNoOptional Cybercentry subscription token. Uses your plan quota instead of paying per call.

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It discloses cost and payment method ('Costs $1.00 per call, paid in USDC over x402') and mentions output ('findings with a clear risk level'). But it does not mention whether the code is sent externally, whether the action is read-only, or any authorization/privacy implications, which are significant for a security auditing tool.

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 concise sentences that immediately state the purpose, output, and cost. Every sentence adds value and there is no wasted wording or repetition of the title or schema fields.

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 simple tool with one required parameter and no output schema, the description is largely complete: it tells the agent what to pass, what the tool will do, and what to expect back. The missing details are around output structure and potential input limitations, but the current level is enough for an agent to invoke the tool confidently.

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 the schema already documents both parameters. The description does add meaningful context by explaining the cost model and the purpose of the tool, which indirectly supports the 'solidity_code' parameter, but it does not add new syntax or detailed 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 a specific action ('Audit Solidity smart contract source for vulnerabilities') and identifies the unique resource (Solidity source code). It also distinguishes from sibling token verification tools by focusing on general Solidity code rather than a specific token standard or blockchain.

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 'before you deploy or call it' provides clear timing/context for when to use this tool. However, it does not explicitly state when not to use it or name alternative sibling tools, so it falls just short of a 5.

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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