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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the read-only safety is covered. The description adds behavioral detail: it returns both newly found tokens and older watched tokens, includes buy/no-buy reasoning, and provides verdicts. This goes beyond the annotation's minimal safety profile, though it doesn't mention pagination or any edge cases.

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 sentence that front-loads the core purpose ('The newest tokens the SWOGE AI colony just found') and then lists the data fields. It's informative without excessive wordiness, though the sentence is long and could be split for readability.

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 main content but leaves ambiguity about output structure: does 'limit' apply only to new tokens, or also to older watched tokens? Are older tokens a separate section? Since there's no output schema, the description should clarify the response format and the exact effect of the limit parameter. This gap makes it less than fully complete.

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 both parameters (limit and quote) already have descriptive comments. The tool description adds no extra meaning about the parameters; it only describes the output. Baseline 3 applies because the schema handles parameter documentation.

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 resource (newest tokens on Robinhood Chain found by the SWOGE AI colony) and lists specific data points it provides (pool size, cap, 5-minute move, buy rationale), plus older watched tokens with verdicts. This distinguishes it from siblings like scan_token, which likely targets individual tokens.

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?

No explicit guidance on when to use this tool versus alternatives. It does not mention any sibling or conditions, leaving the agent to infer that this is for discovering new launches. The description is purely descriptive and lacks any 'use this instead of' context.

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