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

The 'Read-only' claim merely restates the readOnlyHint annotation and earns no credit. The one genuinely additive detail is that the response includes an app link to the full list, which matters because no output schema exists; beyond that there is no disclosure of freshness, scope, or empty-result behavior.

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?

Two short sentences with the resource identified first and the return hint last. The trailing 'Read-only' sentence is redundant against the annotation and is the only wasted clause.

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 zero-parameter, no-output-schema tool this is nearly sufficient: it identifies the dataset and notes the app-link payload. An agent could benefit from knowing freshness/cadence and whether the list is ranked, but nothing critical to invocation is missing.

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?

The tool takes zero parameters, so there is no parameter semantics to explain; per the scoring baseline this is a 4. Schema coverage is 100% and the empty object schema is self-explanatory.

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?

Names a specific resource (Returnolio's Moonshot candidates) and characterizes it concretely as 'high-growth breakout names surfaced by the detector', so the agent knows this is a curated detector output. It stops short of distinguishing itself from conceptually similar list tools in the sibling set (get_top10, screen_stocks, get_top10_track_record), which is why it lands at 4 rather than 5.

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?

Usage context is implied by 'breakout names surfaced by the detector', suggesting a screening/discovery use case, but there is no explicit when-to-use statement, no prerequisites, and no routing to or away from alternatives like screen_stocks or get_top10.

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