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

With no annotations present, the description carries the full burden, and it does disclose the two facts that most change agent behavior: the call costs $0.10 via x402/USDC on Base, and the verdict is derived from named external data. It does not cover failure modes (invalid or non-Base address), latency, or whether the charge applies on error, which are real gaps for a paid call.

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?

One dense sentence, front-loading the cost and payment rail so an agent sees the price before committing, followed by output definition and a usage cue. No filler, though the parenthetical evidence list is packed tightly enough that it reads as a run-on.

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?

Absent an output schema, the description does the necessary work of describing the return value (a four-level grade plus reasons). For a paid, single-parameter scoring tool that is nearly sufficient; the missing pieces are error/refund behavior and the shape of the "reasons" payload.

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 coverage is 100% for the single required parameter, so the baseline is already high. The description still adds meaning by pinning the address to the Base chain, which the schema field text restates only as "Base token contract address" – marginal added value on top of an already-documented parameter.

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?

"Onchain safety verdict for a Base token" names a specific resource and output (a GREEN/MID/YELLOW/RED grade), and the parenthetical lists the exact inputs behind the grade (liquidity, pair age, turnover, buy/sell flow, volatility) plus the data source (DexScreener). It is clearly distinguishable from siblings such as repo_verdict or score_repo_trust, which operate on code repositories, not tokens.

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?

"Screen tokens before interacting" gives a concrete situation in which to call the tool, which is the main routing signal an agent needs. It stops short of naming an alternative or stating when not to use it, but no sibling competes for the same token-safety job, so the absence of exclusions is low-cost.

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