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

Annotations already declare readOnlyHint, openWorldHint and non-destructive behavior, so the safety profile is covered. The description adds genuinely new context beyond the annotations: the tool costs $0.02 (or is bundled in a plan key), and it functions even on tokens launched seconds ago, including the special tokenized_stock case where no deployer judgment applies.

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 deliverable and every clause carries information (signals, edge cases, pricing). However, the deeply nested parenthetical enumerating six signal values plus the tokenized_stock exception makes it a single hard-to-parse run-on sentence.

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 does the work of enumerating the possible verdicts and noting results come 'with reasons', and it discloses cost. For a single-parameter read tool this is close to complete, though the shape of the reasons payload is only gestured at.

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?

Only one parameter, and schema coverage is 100%, so the schema fully documents the 0x contract address input. The description adds no syntax or format detail for the token argument, leaving the baseline 3 appropriate.

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 deliverable — a composite BUY-RISK verdict combining deployer reputation, insider-distribution flags and on-chain activity into one of six enumerated signals. This clearly differentiates it from raw-data siblings like robinx_token, robinx_deployer and robinx_smart_holders, whose outputs it aggregates.

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?

Gives one implicit usage cue — 'Works on a token that launched seconds ago (scores WHO deployed it)' — which signals it is appropriate for brand-new tokens where deployer attribution matters. It never says when not to use it or names a sibling alternative, so routing still requires inference.

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