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 cost ('$0.09 via x402'), the fact it is a single call, the specific data sources (live DEX liquidity, 24h volume, buy/sell flow, momentum, pair age), the integration of GoPlus honeypot/tax/owner-risk checks, and the explicit limitation that it never trades or promises returns. It lacks details on failure modes or rate limits but is substantially transparent for a read-only intelligence tool.

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 description is a single dense sentence, but every clause adds meaningful information: purpose, data aggregated, risk checks, classification output, and limitations. It is front-loaded with the most important facts ('$0.09 via x402: one ranked Base launch-intelligence call') and contains no filler. It is slightly long but efficient.

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?

Despite lacking an output schema, the description covers what is returned (classifications), what inputs it uses (parameters), what data sources are consulted, and its non-trading nature. For a tool with only three parameters and no output schema, this is quite complete. It could be improved by hinting at the format or scale of results, but it is adequate for an agent to invoke 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 67% (two of three parameters have descriptions). The tool description does not mention any parameters directly, so it fails to compensate for the undocumented x_payment parameter. While 'limit' and 'min_liquidity' are already explained in the schema, the description adds no extra meaning, and the payment parameter remains a mystery. This is a clear gap.

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 has a specific verb ('finds') and a clear resource ('new/boosted Base tokens'), and it states the exact output: 'returns transparent REVIEW/WATCH/LOW_SIGNAL/REJECT classifications.' It also distinguishes itself from sibling tools by explicitly focusing on 'Base launch-intelligence' and ranking, which contrasts with crosschain_attention_radar or token_launches_feed.

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 description provides clear context on when to use this tool: for ranked Base launch intelligence with risk checks. It also includes an exclusion: 'Market intelligence only; it never trades or promises returns,' which tells the agent not to use it for trading or financial advice. However, it does not explicitly name alternatives or state 'use this instead of X,' so it stops short of a 5.

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