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

There are no annotations, so the description carries the full burden of behavioral disclosure. It does not mention side effects, authentication, rate limits, or what constitutes a 'round'. The word 'verifiable' describes the beacon's property, not the tool's behavior, offering no additional insight into the tool's operation.

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 concise sentence with no filler words. It is front-loaded and directly states the tool's purpose, earning its place.

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 zero-parameter getter, this is minimally adequate, but it fails to provide context on how it relates to sibling quantum tools or what the output entails. The lack of usage guidance and behavioral transparency creates notable gaps, despite having an output schema.

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 ambiguity in the input. The baseline of 4 for 0 parameters applies, and the description does not need to add parameter meaning.

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 action ('Get') and the resource ('Animica's verifiable quantum randomness beacon') with a specific scope ('latest round'). This distinguishes it from sibling tools like animica_quantum_draw, which likely generate or draw randomness, by focusing on the beacon's latest round.

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 provides no guidance on when to use this tool versus alternatives such as animica_quantum_draw or animica_quantum_verify. It only states what the tool does, not when it should be selected or any exclusions.

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