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

Annotations only declare readOnly and openWorld; the description adds the substantive behavioral facts: no money moves because it is a simulation, which chains/venues/pool types are consulted, and the full verdict vocabulary (clean, taxed, high_tax, honeypot, no_liquidity, inconclusive). It also discloses billing behavior (paid via x402, not charged for invalid input or tokens with no WETH/USDC pool), which is exactly the kind of cost/side-effect context annotations cannot express.

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?

Dense but front-loaded: purpose, then method, then outputs/verdicts, then when to use, then billing. Nearly every clause carries information, though it is delivered as one unstructured paragraph rather than separable sentences, which slightly slows scanning.

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?

With only two simple parameters, no output schema and thin annotations, the description still covers mechanism, return semantics, verdict categories, usage timing and pricing. Nothing an agent needs in order to call this correctly or interpret the result is missing.

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?

Schema description coverage is 100% and both parameters are documented there, including the amountEth range and default, so the schema does the heavy lifting. The description adds only indirect context (the simulated buy is sized against the discovered pool) without restating or extending parameter semantics; baseline 3 is appropriate.

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?

Names a specific resource (a Base token) and a specific operation (honeypot and sell-tax check) and immediately discloses the mechanism: finding the deepest WETH/USDC pool across named DEXes and simulating a buy-then-sell on a Base node. An agent knows exactly what this does and what it returns (verdict enum) without opening the schema.

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?

Explicit trigger given: 'Useful before an agent buys, swaps or accepts a token,' which is a clear when-to-use statement. It does not name when-not to use it or point at alternatives that exist among the siblings (token_safety_check, token_report), so the boundary between those tools is left to inference.

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