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

The annotations already declare read-only, idempotent, non-destructive behavior. The description adds useful operational context beyond them: the 0–5000 input range, per-call cost of $0.001 USDC via x402 on Solana, and an alternate HTTPS endpoint. It does not discuss failure behavior or rate limits, but with annotations present this is solid.

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 definition is front-loaded with the core computation and examples, then compactly adds bounds and payment/endpoint details. Every sentence contributes useful information, and there is no filler.

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 single-parameter mathematical counting tool with no output schema, the description is complete enough to call correctly: it explains the computation, bounds, examples, cost, and alternate access method. No important caller context is missing.

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?

Schema description coverage is 0%, so the description must carry parameter meaning. It defines n as the target sum and states the 0–5000 range, then reinforces the mapping with examples such as 18 having 2 and 44 having 2. It could be even stronger by explicitly restating that n is the integer total nugget count, but it adds real meaning beyond the bare schema.

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 a specific computation: counting combinations of 6, 9, and 20 boxes that sum to n. It gives concrete examples that make the resource unambiguous. However, it does not explicitly differentiate this tool from close siblings such as mcnugget_count or mcnugget, so it misses full sibling disambiguation.

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 provides the valid domain for n and illustrative values, which implies when the tool is applicable. But it gives no explicit guidance on when to choose this over sibling tools like mcnugget_count or mcnugget_miss, and no exclusions or alternatives are named.

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