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security.honeypot_check

Read-onlyIdempotent

Token Honeypot & Rug-Pull Static Checker: Checks newly deployed token contracts for hidden buy/sell taxes, blacklist functions, disable trading toggles, and mint exploits. (Price: $0.145 USDC via x402 on Base/Solana)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
networkNoTarget blockchain network.base
tokenAddressYesTarget token contract address.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesDetailed result, report, diff, or analysis output
statusYesExecution status of the micro-service (success/error)
timestampNoUnix timestamp of execution
monetizationNo

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false; the description adds behavioral context beyond those flags by labeling the operation as a 'Static Checker' and by disclosing the exact price, payment rail (x402), and supported networks (Base/Solana). This is useful, though it does not cover rate limits or response shape.

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?

Two short sentences, front-loaded with purpose. The first sentence communicates scope and specific checks; the second discloses pricing and target networks. There is no filler, repetition, or unnecessary background.

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?

With annotations covering safety, a 100%-covered input schema, and an output schema present, the description only needs to convey the tool's purpose and any non-obvious costs/constraints. It does so. It does not describe output semantics, but that is covered by the output schema, so the definition is essentially complete.

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 both tokenAddress and network are already documented in the input schema. The tool description does not add parameter-specific detail, but given full coverage the baseline score of 3 is appropriate; no compensation is needed.

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 specific noun phrase—'Token Honeypot & Rug-Pull Static Checker'—and an explicit verb-resource pair: 'Checks newly deployed token contracts' for a concrete list of hazards (hidden taxes, blacklist functions, trading toggles, mint exploits). This scope distinguishes it from generic smart-contract audit or KYA risk siblings even without naming them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'newly deployed token contracts' implies the target scenario, and calling it a static checker implies a pre-trade screening use. However, the description does not explicitly state when this tool should be chosen over audit.smart_contract or security.kya_risk, nor does it state any exclusions or prerequisites.

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

A3.6/5.0
Disambiguation3/5

Most tools target clearly distinct domains, but audit.smart_contract and order.commercial_audit overlap as audit offerings, and order.ast_remediation and remediate.code_patch both generate AST-based remediation patches. The pricing and commercial language help somewhat, but the boundaries are not crisp enough for reliable tool selection.

Naming Consistency4/5

The dot-separated category.snake_case pattern is consistently applied across all 12 tools, making the set easy to scan. However, the category prefixes mix nouns and verbs (analytics, audit, order, remediate, signals), and 'order' is an unclear prefix.

Tool Count4/5

Twelve tools is a reasonable size for a broad paid Web3/DeFi service suite, and each tool represents a distinct revenue-generating capability. The count feels slightly padded by overlapping audit and remediation offerings that could be consolidated.

Completeness3/5

The suite covers a wide range of Web3 tasks including audits, remediation, security checks, routing, analytics, governance simulation, and signals. However, there are no workflow-oriented tools for managing or retrieving past audit/remediation orders, and the broad scope makes the domain boundaries vague.

Resources