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

Annotations already declare readOnly, idempotent, non-destructive and openWorldHint=false, so the safety profile is covered. The description adds non-obvious context beyond that: it is 'Free', the data snapshot is dated ('Nov 3'), and the observation windows (2 hours, 3 days, 14 days) are spelled out. It does not mention rate limits or 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?

It is front-loaded well with 'Free. One ticker's crowd (Nov 3)', but the core sentence is an extremely long run-on that chains five distinct output categories together. The information is relevant, yet a bulleted breakdown would make the enumerated outputs far easier to parse and retain.

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?

With no output schema, the description must carry the return shape, and it does so comprehensively across every window and aggregate the tool returns. A couple of phrases ('the first and the biggest named') are slightly ambiguous, but an agent knows what it will get and when to call 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 coverage is 100% and the schema already documents that the symbol may be given as '$KIMCHI or KIMCHI'. The description supplies background on what a ticker is (88.3% of launches reuse one) but adds no syntax, casing, or resolution rules for the parameter itself, so 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 names a specific resource ('one ticker's crowd') and enumerates exactly what the response contains: launches over the last three days by UTC day, graduations with timing, last-two-hour counts, 14-day deployer history, and all graduated coins for the ticker. It never names a sibling tool such as check_coin or launch_record, so differentiation is left to inference from the enumerated output shape.

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 a concrete decision context ('before buying a coin, see every coin with its ticker') and explicit use cases ('how many $KIMCHI launched today, did the first one or a later one run, is this a rerun'). It stops short of stating when not to use it or which sibling to pick for a single-coin lookup, so the agent must infer routing.

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