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

No annotations are provided, so the description carries the full burden for behavioral disclosure. It mentions that the tool is free, provides current tiers and exact payment requirements, which is useful context. However, it does not explicitly state that this is a read-only operation or note any limitations (e.g., data freshness, no on-chain execution). The description is adequate but could be more transparent about the tool's non-mutating nature and potential caveats.

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 two sentences, front-loaded with 'FREE' and the key output, and every word earns its place. It is concise, structured with a dash to list the rails, and immediately conveys the purpose and usage without fluff.

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?

This is a simple zero-parameter pricing lookup tool with no output schema and no annotations. The description covers its purpose, the specific rails, the information provided, and when to use it. It is complete for the tool's complexity, leaving no significant gaps.

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?

The tool has zero parameters, so there is no schema to interpret. The description adds meaning by explaining what the tool returns (tiers, prices, payment requirements) and the scope (every rail). This exceeds the baseline for a no-parameter tool, as it clarifies the output content and intended use.

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 clearly states what the tool does: it provides current tiers, prices, and exact on-chain payment requirements for every supported rail (Algorand, Base, Polygon, Solana). This is a specific resource with a clear purpose, and it is distinct from sibling tools like second_opinion_verify or second_opinion_result, which handle verification or results.

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 explicitly says 'Use this to pre-build a payment, or to discover what a verification will cost before committing,' which gives clear context for when to use the tool. It does not explicitly mention alternatives or exclusions, but the usage guidance is strong and implies this is the pricing lookup tool among the siblings.

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