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

Annotations only cover the read-only/open-world safety profile; the description adds substantive behavior beyond them: the deployer-reputation scoring model, the tokenized_stock labelling and exclusion, the polling design, and the $0.01 cost or plan-key entitlement. Pricing/auth and scoring semantics are exactly the context annotations cannot express.

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 resource and scoring model, then parameters, then cost. Dense but every clause earns its place; the parentheticals add real information rather than padding.

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?

No output schema and no annotations beyond safety, so the description must cover params, behavior, and access cost — and it does all three for a curated feed. Return shape and pagination behavior past the 'since' cursor remain unspecified, a minor gap for a polling tool.

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 0% schema description coverage and three undocumented string params, the description carries the burden and largely meets it: it defines min_score semantics ('70 = proven deployers only'), identifies since as a cursor, and bounds limit at 100. It does not explain cursor retrieval or the string type of limit, but meaning is added well beyond the bare 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?

States a specific verb+resource: newest Robinhood Chain launches scored by deployer reputation, plus the tokenized_stock exclusion rule. This distinguishes it by chain scope from generic launch siblings like robinx_arc_new_launches, though it does not name an alternative tool explicitly.

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 gives strong per-parameter usage guidance (min_score=70 means proven deployers only, since is a cursor, limit maxes at 100) and notes the tool is designed to be polled. However, it never says when to choose this over a sibling such as robinx_arc_new_launches or robinx_new_launches, so alternative selection is left to inference.

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