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

Annotations already establish read-only/idempotent safety, yet the description adds substantial non-obvious behavior: the verdict comes from a buy-then-sell simulation on the deepest pool, buy/sell tax is measured, bytecode flags and simulation/bytecode disagreement are returned, 'no pool found is a finding' (not an error), and RPC failure surfaces as 503. It also discloses the payment model (0.01 USDC per call via x402 and accepted chains), which no structured field covers.

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?

Front-loaded with the when-to-use condition, then the returned verdict, then caveats and pricing — a sensible priority order. It is dense with fragment-style listing ("Also: whether...") and slightly long, but each sentence carries load-bearing information rather than filler.

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?

An output schema exists, so return-shape detail isn't required, yet the description still characterizes the verdict, tax measurement, bytecode flags, and disagreement output. With annotations covering the safety profile and pricing/cost and error behavior disclosed, an agent has everything needed to call this correctly.

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%, so the schema already documents both `token` and `chain` including the per-chain DEX lists. The description's venue mentions (Uniswap, Aerodrome, PancakeSwap) restate what the schema's chain description already says, adding no syntax or format guidance. Baseline 3 applies when the schema does the lifting.

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?

States a specific verb+resource (honeypot check on a token) and its outcome (verdict from a buy-then-sell simulation). It clearly distinguishes itself from sibling risk tools like get_token_risk and get_sol_token_check by scoping to EVM chains and stating the sellability question. An agent can select it without opening any 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?

"Use when an agent needs to know whether a token ... can be sold before it buys" gives explicit, actionable timing and intent. It does not name the alternative for Solana tokens (get_sol_token_check) or contrast with get_token_risk, so routing among near-siblings still requires inference.

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