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

With no annotations, the description carries the full load and does reasonably well: it names the upstream data source (pump.fun program), the bucket granularity (counts per 10 min), the privacy posture (aggregates, no wallet lists), and discloses that the call is paid at $0.0045 USDC via x402. It does not cover rate limits, error behavior, or freshness/latency, which keeps it from a 5.

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 trigger condition is front-loaded, followed by Input/Output/scope blocks and an example, so an agent can scan it quickly. The trailing price and "Not advice" sentence is marginally off-topic but does carry real behavioral information for the caller.

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?

There is no output schema, but the description enumerates the returned fields in detail (mint, symbol, age, bonding-curve %, price/market cap in SOL, authorities, holder aggregates, riskLevel + signals), which is enough to decide whether to call it. Minor gaps remain on pagination, ordering guarantees, and failure modes.

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%, so the schema already documents both parameters with defaults and ranges; the description largely restates minutes (5-60) and limit (1-20). It adds modest value by tying limit to "newest launches detailed" and showing a worked example (?minutes=60&limit=10), slightly above the baseline of 3.

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 resource and scope: pump.fun Solana meme-token launches over a look-back window, with bonding-curve progress and risk flags. This clearly separates it from single-token siblings like sol_token_info and sol_token_risk, which inspect one mint rather than a launch 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?

"Use when an agent watches new Solana meme coins" gives a clear situational trigger, and "Aggregates only; no wallet lists" sets a scope boundary. It stops short of naming an explicit alternative or exclusion (e.g. when to prefer sol_token_risk for a single mint), so it is short of a full 5.

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