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

With no annotations, the description carries the full burden and does well: it discloses the per-call cost (0.05 USDC via x402), names the risk metrics returned, and the schema spells out the 402 payment flow. It still omits rate limits, pagination/ordering defaults behavior, and whether results are cached over the interval window.

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 core purpose, then risk-data specifics, then usage, then payment terms. The metric list is dense but each item is meaningful to an agent scoring tokens. No filler sentences.

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?

No output schema and no annotations, so the description must convey return content and cost — and it does via the enumerated risk fields and the x402 pricing. It falls short only on failure modes (402 handling is in the schema, not the description) and on distinguishing itself from sibling trending tools.

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 67%, below the high-coverage threshold, so the description should compensate more than it does. It names the chains and three ranking dimensions (swaps, volume, market cap) but leaves filters, interval semantics, and the meaning of orderBy 'default' or holder_count/change1h undocumented anywhere but the raw enum.

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 and resource ('Real-time trending tokens') and enumerates supported chains and ranking dimensions, so an agent knows exactly what it returns. However, it never distinguishes itself from close siblings like trending_tokens or new_token_profiles, which an agent would also consider for the same discovery task.

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 sentence 'Agents use this to discover newly launched tokens and assess risk before sniping' gives an implied use context, but there is no explicit when-to-use vs when-not, no mention of alternative tools such as trending_tokens or token_audit, and no prerequisites beyond the payment note.

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