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

With no annotations provided, the description carries the transparency burden. It explains the public nature, the anti-grinding property, and the two-step retrieval process. It does not explicitly mention lack of side effects or response behavior, but the core behavioral contract (verifiable, public, deterministic) is well conveyed.

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 a single paragraph that efficiently explains the protocol and usage in a few sentences. It is wordy but necessary to convey the commitment‑scheme mechanics, so it is appropriately concise for the complexity.

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 does not specify the structure of the response, such as whether it returns a commitment, a seed, or both, nor the data types or fields. Since no output schema is provided, this omission leaves a significant gap for an agent trying to use the tool's results.

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?

Both parameters are clearly explained: label ensures independent draws with consistent usage, and the description specifies that round is optional and controls which round's data is returned. This adds full meaning beyond the schema's sparse field descriptions.

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 provides a verifiable, fair random number via a commitment scheme, and distinguishes it from sibling tools by its unique purpose. It explains how to use it for verification, making its function unmistakable.

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?

It gives explicit usage instructions: take the commitment before the round, take the seed after, verify with SHA-256, and call with no round for current state or with a round number for a specific round. This fully guides when and how to invoke the tool.

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