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

With no annotations, the description carries full responsibility for behavioral disclosure. It clearly explains the simulation mechanism (no funds move), what it reports (sell reverts, round-trip tax), and its purpose (catching fresh-launch honeypots before GoPlus has data). It does not mention potential limitations like network usage, error handling, or pool existence, but the core behavior is transparent and non-destructive.

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 front-loaded with the tool's core function, then provides usage context and a final instruction. All three sentences deliver distinct value: purpose, when-to-use rationale, and parameter guidance. There is no redundancy or filler, making it concise and well-structured for an agent to parse quickly.

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?

Given only one parameter and no output schema, the description sufficiently explains what the tool does, how it does it, what it returns (sell revert status and round-trip tax), and when to use it. It also provides a clear alternative to other tools, making it complete for the tool's complexity.

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 input schema has 100% coverage for the only parameter 'address' with description 'the 0x token contract address on Robinhood Chain'. The description adds the instruction 'Give a 0x token address', which reinforces the prefix requirement but adds minimal semantic value beyond the schema. Since coverage is complete, the baseline is 3, and the description does not significantly enhance parameter understanding.

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 tool performs a REAL-TIME honeypot check for Robinhood-chain tokens by simulating a buy and sell against the token's own V3 pool, reporting whether selling reverts and the round-trip tax. It distinguishes itself from siblings like robinhood_token_safety by explicitly targeting fresh launches and cases where other tools return 'not indexed / sellability unknown'.

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 explicitly states when to use the tool: for brand-new or just-launched tokens, or whenever robinhood_token_safety / GoPlus returns 'not indexed / sellability unknown'. It also implies when not to use (when other tools have data) and names alternative tools, providing clear situational guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.