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

Annotations already establish readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful behavioral context the schema doesn't carry: the implicit 7-day age cutoff, the $10K liquidity floor, and the existence of a wash-trading heuristic. However, most of the sentence enumerates return fields that the output schema already defines, so net added value is moderate.

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?

A single dense sentence that front-loads the resource and inclusion criteria before the field list. No filler or repetition, though the trailing field enumeration makes it run long rather than optimal.

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 an output schema present and annotations covering the read-only profile, the description only needs to frame filters and usage, which it partially does. It omits sort order, default behavior when no filters are passed, and any hint about how the activity score is computed, leaving meaningful gaps for an agent deciding how 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 description coverage is 100%, so both limit and safe_only are fully documented in the schema and this is a baseline 3. The description implicitly clarifies safe_only by explaining what the RugCheck safety label and suspicious-volume flag mean, but adds no syntax, ordering, or defaulting detail beyond the schema.

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 pins down a specific resource and scope: new Solana tokens under 7 days old with $10K+ liquidity, plus the exact enrichment fields returned (activity score, RugCheck label, wash-trading flag, liquidity, volume, trades). It is clearly a 'list fresh launches' tool rather than a single-token analyzer. It lacks an explicit verb ('get'/'list') and does not distinguish itself from neighbors like scan_token or analyze_token, which also involve token safety 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?

There is no when-to-use guidance, no mention of when NOT to use it, and no routing to alternatives such as scan_token or analyze_token for deeper per-token work. The agent must infer the tool's role purely from the returned-field list.

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