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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds useful behavioral context about ranking basis and oracle_round fields, but it also claims a group_by=company mode that is not actually available given the empty input schema, which introduces confusion.

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 compact, front-loads 'FREE', and avoids wasted sentences. However, the semicolon-heavy phrasing and embedded field notation make it harder to parse than a simple two-sentence structure would be.

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 list tool with no output schema, the description does explain the ranking basis and some return fields. But the misleading group_by reference creates a completeness problem, and the response shape remains only partially described.

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?

With zero parameters, the normal baseline would be high, but the description references 'group_by=company' as if it were an available option. Since the input schema has no properties at all, this falsely implies a parameter exists and an agent could attempt to use it.

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 states a specific resource and scope: top 10 tokenized stocks ranked by on-chain supply value, with oracle stock price data. It also distinguishes this free tool from the paid tokenized_stocks sibling, though the phrasing is dense and slightly telegraphic.

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 explicitly identifies this as the FREE tier and names tokenized_stocks ($0.005) as the broader alternative that adds every token, contract, DEX price, and premium/discount. That gives a clear use-vs-upgrade decision, though it does not state exclusions beyond the top-10 limit.

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