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

With no annotations, the description carries the full burden. It discloses that each step is individually hashed and that it covers the entire chain from source to delivery, which are meaningful behavioral traits. However, it does not explicitly state read-only nature, return format, or any side effects, leaving small gaps but still providing substantial transparency.

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?

Two focused sentences convey the tool's scope, hashing behavior, and compliance relevance without unnecessary words. The em dash provides good structure and front-loads the main action. Every sentence earns its place, making this highly concise.

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?

For a tool with one parameter and no output schema, the description explains what it does and why it matters, making it invokable. However, it omits details about the expected return structure or error behavior, which would enhance completeness for an agent calling it directly. Given the low complexity, the description is reasonably complete.

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 schema fully describes the single 'symbol' parameter as the token symbol to trace (100% coverage). The description does not add additional semantic details beyond the schema, so it meets the baseline for high schema coverage. No extra constraints or format guidance 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?

The description clearly states the tool traces the full data provenance chain from external sources through processing to delivery. It identifies the specific resource (provenance chain) and the action (traces), distinguishing it from sibling verification tools. The scope is explicit, mentioning sources like CoinGecko, ESMA, and on-chain data.

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 implies use for EU AI Act Art. 13 transparency compliance, which provides a concrete use case. However, it does not explicitly compare with sibling tools or state when to use this trace tool versus alternatives like verify_claim or trust_status. Usage context is present but exclusionary guidance is missing.

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