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

Annotations only declare readOnlyHint and openWorldHint; the description adds real value beyond that by disclosing the cost model ($0.003 in USDC per successful call via x402 on Base, Solana or Arc, with failed calls not charged) and the 'information only, not financial advice' caveat. It doesn't discuss result ordering, pagination, or rate limits, but the presence of an output schema and the explicit billing behavior make this solidly above baseline.

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 lead clause is well front-loaded, and the pricing/sibling sentences are useful. However, the long middle enumeration of payload fields (price, market cap, liquidity, holders, volume, trades, price change, organic score, mint and freeze authority, top-holder share, age, red flags) largely duplicates the available output schema and dilutes the actionable guidance.

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?

For a zero-required-parameter listing tool with full schema coverage, an output schema, and annotations, the description covers purpose, filtering, alternatives, cost, and a disclaimer — enough to call it correctly. It could be complete at 5 with a note on result ordering or what the 'red flags' fields mean, but nothing essential is absent.

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 all five parameters (mode, limit, interval, minLiquidityUsd, minVolume24hUsd) are already documented, including defaults and the 'not for new' constraint on interval. The description restates the same modes and filter dimensions without adding format or edge-case detail (e.g., that limit is passed as a string, or how minLiquidityUsd interacts with the mode-specific default). 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?

The description names a specific resource (Solana tokens via Jupiter), an explicit scope (trending, newest, top-traded, top-organic), and the filter dimensions (liquidity and 24h volume). It also enumerates the per-token payload, so an agent knows both what it lists and what each row contains, and it explicitly separates itself from the sibling solana_token.

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?

Usage routing is explicit: solana_token for a single token's market data and red flags, solana_account for account lamports/owner. That gives the agent clear conditions for choosing this listing tool. What's missing is a negative condition (e.g., when to prefer solana_quote or token_search, or that this is not for a specific mint lookup by address), so it stops short of full when/when-not coverage.

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