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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds meaningful behavioral context beyond these: the tool costs 0.02 USDC via x402, uses canonical identity, official references, MSRP relationships, and matched listing signals, and is an advisory risk assessment rather than a transaction. No contradiction with the annotations.

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 three concise sentences with the core purpose front-loaded, followed by methodology, cost, and targeted use cases. Every sentence adds distinct value and there is no filler or repetition of the schema.

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?

The description supplies purpose, method, cost, and explicit trigger conditions, and an output schema is present so return values do not need to be described. It could be slightly stronger by naming sibling alternatives or stating limitations, but overall the description is complete enough for an agent to select and invoke the tool correctly.

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 coverage is 67%, with query and id described but lang lacking a description in the schema. The description contributes contextual meaning by naming the signal sources used in assessment, but it does not explain the lang parameter or add formats beyond the schema's examples. This is adequate but not a strong compensation for the coverage gap.

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 opens with a specific verb and resource: 'Assess counterfeit, bootleg and suspicious-listing risk' for Japanese anime figures. This clearly distinguishes it from siblings like identify_anime_product or anime_market by focusing on authenticity risk rather than identification, pricing, or purchase timing.

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?

The description gives explicit trigger conditions: 'Use when the user is worried about bootlegs, suspiciously cheap listings, missing official references or risky marketplace offers.' It also positions the tool before a recommendation or purchase. It does not explicitly name sibling alternatives or when-not-to-use cases, so it stops short of a 5.

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