Honeypot Check
honeypot_checkDetect if a token is a honeypot. Simulates a sell and returns whether selling is possible.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes |
honeypot_checkDetect if a token is a honeypot. Simulates a sell and returns whether selling is possible.
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full responsibility for behavioral disclosure. It explains the simulation of a sell and the return of whether selling is possible, which is a clear behavioral trait. However, it does not discuss potential side effects, requirements (e.g., network access), or limitations, leaving some transparency gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two concise sentences with no filler. The primary action is front-loaded, and every word contributes to understanding. This is an exemplary model of brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one parameter and no output schema, the description could be more complete. It explains the simulation and the result but does not specify the exact return type (e.g., boolean) or differentiate from zora_rug_check. It also omits any prerequisites or edge-case behavior. While adequate for a simple tool, it leaves a few important details unspecified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The single parameter 'address' has no description in the schema (0% coverage). The tool description does not explicitly clarify that this is a token contract address, though the tool name and context imply it. Since there is no compensation for the schema's lack of detail, the parameter semantics are under-specified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Detect if a token is a honeypot') and specifies the method (simulates a sell). The verb and resource are specific. However, it does not differentiate from sibling tools like zora_rug_check, which might have a similar purpose. Still, the core purpose is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 such as zora_rug_check or zora_scanner. It neither states conditions for use nor mentions any exclusions. An agent would have to infer when honeypot_check is appropriate, which is not ideal.
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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