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

Annotations already convey read-only, idempotent, and non-destructive behavior. The description adds significant behavioral context beyond that: it explains the base-rate field, that sprayers/at-or-below-base/silent wallets are removed with reasons, and that wallet identity showed no out-of-sample edge.

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 dense sentences carry only meaningful information: the dataset definition, the filtering behavior, and the critical interpretation caveat. There is no padding or repetition of the title or schema.

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?

The description covers the dataset, filters, base rate, and the main limitation, which is enough for an agent to understand what the tool returns. Since there is no output schema, it could be slightly more explicit about the exact response shape and ordering, and it does not explain how limit behaves.

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?

The only parameter, limit, is not mentioned in the descriptionched, and schema description coverage is 0%. The schema itself gives the type and default, and 'limit' is semantically conventional, so the gap is minor; still, the description adds no parameter-level meaning and does not fully compensate for the low coverage.

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 identifies a specific resource and selection criteria: Solana wallets that were among a token's first buyers on tokens that later reached 5x the scan cap. It also clearly distinguishes this from the generalized early-wallet sibling tools by focusing on Solana and winners.

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 gives a clear when-not: 'this answers who was early, not who to copy,' which is an explicit caveat against using it for copy-trading. However, it does not name an alternative sibling tool for that use case, so it stops short of full explicit routing.

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