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goplus_rugpull_detection

Detect rug pull risks in crypto tokens by combining multiple GoPlus security checks. Enter chain ID and token address for a comprehensive risk assessment.

Instructions

Comprehensive rug pull detection combining multiple GoPlus security checks

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainIdYesChain ID or name
tokenAddressYesToken contract address to analyze
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only adds that the tool 'combining multiple GoPlus security checks', which is slight context, but it omits crucial details like whether the tool is read-only, what specific checks are run, output format, or any potential side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is concise and front-loaded with the main purpose. It is appropriately sized, though it could be more informative without being verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has no output schema and many closely related siblings, the description is insufficiently complete. It does not explain what 'rug pull detection' includes, how the combined checks work, what the output looks like, or how to interpret results. This is a significant gap for a tool with no structured output documentation.

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 100% of the parameters with descriptions for chainId and tokenAddress. The description adds no parameter-level details, but the schema already provides sufficient meaning, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Comprehensive rug pull detection' with a specific resource (rug pull detection via GoPlus). However, it does not distinguish itself from similar sibling tools like detect_rug_pull_risk, goplus_token_security, or detect_honeypot, so it lacks sibling differentiation.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, use cases, or exclusions. Given the many overlapping tools in the sibling list, more explicit guidance is essential.

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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