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

With no annotations, the description carries full burden and discloses the boolean return type and a critical backend pending status (Q3 2026), which is essential for an agent to set expectations. It does not mention error handling or side effects, but for a verification tool, these are likely implied.

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?

Three short sentences, each with clear value: purpose, return type/use case, and backend status. No redundant phrasing.

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?

Given the simple verification nature and full schema coverage, the description covers purpose, return behavior, and a major limitation. It could benefit from stating error behavior, but the backend pending note adds significant context.

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 input schema already describes both parameters (sig and quote) with complete coverage, so the description adds little beyond naming the target of verification. It correctly maps the purpose to the parameters, but no additional format or constraint details are provided.

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?

Clearly states the action ('Verify the cryptographic signature') and the resource ('oracle quote'), distinguishing from sibling tools like get_price, list_feeds, subscribe which focus on data retrieval. The return type is also specified.

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?

Provides context that it is used to confirm data provenance in smart contracts and agent workflows, implying when it should be invoked. However, it does not explicitly contrast with sibling tools or mention when not to use it, so a clear exclusion is missing.

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