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

The annotations already mark the tool as read-only, idempotent, and non-destructive; the description adds valuable behavioral context by disclosing the exact onchain data sources, the computed outcome (if/when the token turned seizable), and operational details such as x402 pricing, prepaid credit header, free tier, and no wallet/API key requirement. No contradiction with 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 front-loaded with the key question and then efficiently moves through mechanism, behavior, required input, pricing, and authentication. Each sentence adds a distinct piece of operational or diagnostic information, so the relative length is justified and there is no filler.

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 one required parameter fully documented, an output schema present, and the description covering data source, output intent, chain, payment, auth, and free-tier behavior, the agent has everything needed to correctly select and invoke the tool. No critical operational gap is evident.

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%; the schema already documents address as 'B20 token address.' The description only repeats 'Required input: address' and does not add format, validation, or chain-specific meaning beyond the schema, so the baseline score of 3 applies.

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 precise diagnostic question, 'Did this token BECOME seizable after launch?', and then gives the exact mechanism (PolicyUpdated leading to burnBlocked) and the data read (policy/pause event timeline plus live policy state). This makes the tool's purpose highly specific and clearly distinguishes it from generic B20 tools by framing it as the 'B20-only rug vector.'

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 intended scenario is clearly implied: use this when you need to determine whether a B20 token became seizable after launch. However, the description does not explicitly state when not to use it or mention any sibling alternatives, so the usage guidance relies on inference rather than direct routing.

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