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

With no annotations, the description carries the full burden, and it does add real context: the data is recomputed at each publish from a forward-only ledger, and it explicitly states the feed 'ranks, it does not recommend.' However, it says nothing about pagination, result size, refresh latency, or the paid/free tier behavior (that lives only in the schema), so behavioral coverage is partial.

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 definition is front-loaded with the core identity ('Wallet book derived from launch_ledger') before enumerating metrics, and the closing sentence about ranking-not-recommending is a useful qualifier. It is dense and list-heavy but each clause carries information an agent needs to interpret the feed.

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, so the description must describe what comes back — and it does, enumerating hit rate, dead rate, block delta, launchpads, tokens, and deployer status. All six inputs are covered by the schema, and the mutation/read profile is trivially read-only for a feed. It is largely complete for an agent to call and interpret it.

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 100%, so every parameter is already documented, including the nuanced x402 payment flow on 'paid'. The description adds no parameter-level meaning beyond the schema — the field list it gives (launchpads used, tokens, deployed launches) describes return content, not inputs — so the baseline 3 applies.

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 states a specific resource — a wallet book of every address seen in an early-buyer cohort — and enumerates the derived metrics it carries. It also distinguishes itself from launch_ledger by declaring it is 'derived from' that ledger, so the agent can tell the two feeds apart. The verb is implicit (a read feed), but the scope is unambiguous.

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?

There is no explicit when-to-use or when-not-to-use guidance relative to the sibling launch_ledger or the other feeds. 'Repeat early buyers with a high hit rate are the cohort worth watching' is interpretive framing, not routing guidance, and it never says when to reach for this feed versus launch_ledger or search-style siblings.

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