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

With no annotations provided, the description carries the full burden and does an excellent job. It discloses the simulation mechanism ('stateOverride detector-contract'), the fact that no funds are spent, what it detects (sell-blocked/whitelist/high-tax honeypots), the output format (SAFE / HONEYPOT / CANT_BUY + round-trip loss %), and even the free tier/pricing hook. This is more transparent than most tool descriptions.

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 key action and method in the first sentence, and each subsequent sentence adds distinct value: detection scope, output, use case, and pricing. It is dense but not bloated, though the paragraph format could be slightly tighter.

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?

Despite having no output schema, the description explains the verdict values and the round-trip loss percentage, and it covers cost and safety semantics. This is enough for an agent to correctly invoke the tool, with minor gaps around interpreting thresholds or handling edge cases.

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 already describes the single 'token' parameter clearly as a 'Robinhood-chain ERC-20 token address (0x..., 42 chars)' with 100% schema description coverage. The description adds useful chain context (EVM, chain 4663) but no additional parameter-level semantics, matching the baseline of 3.

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 ('token honeypot check'), the specific resource ('Robinhood Chain, EVM, chain 4663'), and the method ('REAL on-chain buy+sell SIMULATION'). It also specifies the output verdicts. However, it does not explicitly differentiate itself from sibling tools like check_mint or score_mint, so it stops short of a 5.

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 positions itself as a 'Pre-trade safety check for autonomous agents trading Robinhood Chain crypto' and contrasts itself with static analysis tools like GoPlus, which it says it catches what static analysis misses. This gives clear context and a rationale for selection, but it lacks explicit 'when not to use' guidance or direct comparison to sibling tools.

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