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

No annotations are provided, so the description carries the full behavioral burden. It does not state whether this is read-only, what the output looks like, how the input string is parsed into values, or whether any permissions are needed. 'Measures the information or randomness' is conceptual, not behavioral.

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 short and front-loaded, with the purpose stated before the input instruction. The redundant 'Entropy:' label at the start is a minor inefficiency.

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 no annotations and no output schema, the description omits key context: how values should be supplied as a string, what the return value looks like, and how this differs from the closely named x402-shannon-entropy sibling.

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 coverage is 100%, but the description's instruction to 'Provide values array' conflicts with the schema, which types the single 'values' parameter as a string. This mismatch may mislead the agent about the expected input format.

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 verb and resource: 'Calculate the Shannon entropy of a dataset.' This is more informative than a tautology. However, it does not differentiate from the sibling tool x402-shannon-entropy, which appears to overlap directly.

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 says to 'Provide values array,' which is parameter-level instruction rather than usage context. It gives no guidance on when to use this tool instead of alternatives such as x402-shannon-entropy, x402-text-entropy, or x402-password-entropy.

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