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

Annotations already cover safety and idempotency, but the description goes beyond them by disclosing a real quota (10 free calls per day) and the degradation path (returns the pay-per-call x402 endpoint and its price). It also discloses the cursor field nextSince, which matters given there is no output schema. It does not say how results are ordered or capped when truncation occurs.

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?

Three tight sentences ordered well: what it returns, how to poll it, what it costs. No filler. The only structural weakness is that the chain enumeration in the first sentence is presented as complete when the schema is broader.

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 read-only feed with no output schema, the description does well to describe the scored facets and the cursor, but it leaves the return envelope, ordering, and two filters underspecified. More importantly, it advertises only three chains while the schema accepts bsc and hyperevm, so an agent needing those chains could wrongly skip the tool.

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 only 40%, and the description compensates for one key parameter by explaining that since pairs with a previous response's nextSince. It also implicitly explains maxRiskScore by enumerating the risk dimensions. However, limit, minLiquidityUsd (default 1000), and the enum values bsc and hyperevm are left unexplained, leaving real gaps for a 5-parameter tool.

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 ('newly launched tokens') with explicit scope ('on Base, Ethereum, or Arbitrum') and adds the differentiating detail that each entry is already risk-scored across named facets, which separates it from siblings like token_risk_metrics or address_check. It stops short of naming an alternative tool for the adjacent use case, and its chain list omits bsc and hyperevm that the schema actually accepts, so it is clear but imperfect.

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?

It gives an actionable usage pattern for the incremental case: 'Poll it: pass the previous nextSince as since to get only new launches.' That is concrete when-to guidance rather than an inference. It does not state when not to use this tool or which sibling to pick instead for deeper risk analysis.

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