Robinhood Chain token verdict

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

Annotations already cover read-only and open-world safety, yet the description adds genuinely non-obvious context: a $0.02 USDC payment on Base (a real cost/auth constraint), the full enum of verdict outcomes including tokenized_stock semantics (market, not launch, no deployer judgment), and the fact that scoring works on seconds-old tokens because it scores the deployer. That is well beyond annotation coverage.

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?

Front-loaded with the core claim (composite verdict) and the differentiator (deployer-centric scoring) appears early. The long parenthetical enum list is information-dense and slightly hurts scanability, but every clause carries real information, including cost.

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 no output schema, the description compensates by enumerating the possible verdict values and noting that plain-English reasons accompany the signal. It does not sketch the response shape (fields, flags, scores), which leaves a modest gap for an agent planning downstream use.

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% and the single `token` parameter is fully documented in the schema, so baseline 3 applies. The description reinforces the chain context (Robinhood Chain, chain 4663) but adds no format or validation 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?

Names a specific output artifact (a composite BUY-RISK verdict) for a specific resource (Robinhood Chain chain-4663 memecoin) and enumerates the inputs it fuses (deployer history, insider distribution, on-chain activity). This clearly separates it from siblings like robinx_token (single-token data) and robinx_deployer (raw deployer data).

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?

Implies the selection condition well: use it when you want one fused signal rather than raw data, and it explicitly covers the edge case of brand-new tokens and tokenized stocks. It stops short of naming an alternative sibling to use when you want the underlying detail instead.

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