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

No annotations at all, so the description carries the full burden. 'With proof' is a faint hint that the response includes a verifiable artifact, but nothing is said about the randomness source, whether results are reproducible, cost/latency, or what 'proof' concretely is — the one behavioral claim is unexplained.

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?

A single front-loaded line with no waste, but it reads as under-specification rather than deliberate brevity — the '[inference]' tag consumes space without adding information an agent can act on.

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?

With no annotations, no output schema, and no parameters to lean on, the description is the only source of behavior — and it leaves the nature of the returned 'proof' and its relation to rng_verify completely undefined. For a tool whose main value proposition is the proof artifact, that is a real gap.

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?

Zero parameters and an empty, fully-covered schema, so there is nothing for the description to disambiguate. Baseline 4 applies.

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?

Identifies the resource ('Quantum random number') and a distinguishing attribute ('with proof'), so an agent can roughly tell it apart from rng_verify. But no verb states the action — generate? fetch? — and the bracketed '[inference]' prefix is unexplained noise that could confuse rather than clarify.

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?

No when-to-use guidance, no conditions, and no mention of the obvious sibling rng_verify, which presumably validates the proof this tool produces. The agent is left to infer the relationship between the two from names alone.

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