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

No annotations are provided, so the description carries the full burden. It indicates a read-only discovery operation via 'Discover' and discloses what data is returned (profiles, descriptions, social links) plus the temporal scope (first minutes/hours). It does not mention rate limits or explicit read-only status, but this is reasonably implied.

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 two concise sentences, front-loaded with the primary purpose. The second sentence adds valuable temporal context without unnecessary words.

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?

For a simple tool with two optional params and no output schema, the description communicates the core purpose and expected output contents adequately. It lacks explicit response format or pagination details, but the given information is sufficient for basic invocation.

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?

Both parameters (chain, limit) are fully described in the input schema, covering 100% of the parameter semantics. The description adds no additional parameter details, so the baseline of 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 clearly states the tool's action ('Discover') and resource ('freshest token launches'), while specifying the output contents (profiles, descriptions, social links). This distinguishes it from sibling tools like rug_check or whale_watch, which focus on other aspects of token analysis.

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 for when to use the tool: when seeking newly launched tokens in their early hours. However, it does not explicitly mention exclusions or alternatives among the 8 sibling tools, though the specific focus on launches is evident.

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