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

With no annotations provided, the description carries the full burden of behavioral disclosure, yet it says nothing about what entropy measure is computed, what the output looks like, or any constraints. The agent learns nothing beyond the redundant name.

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 text is short but not concise in a useful sense: it is under-specified to the point of being empty. 'Text Entropy: Text Entropy' is pure repetition with no front-loaded value.

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 2-parameter tool with no annotations and no output schema, the description should explain the computation and parameter meaning. It provides nothing, leaving the agent unable to invoke it correctly or distinguish it from siblings.

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 100%, so the baseline is 3. However the schema's own descriptions ('Text to process', 'Input to process') are themselves tautological, and the two parameters ('text' and 'input') are ambiguous and overlapping; the description adds no clarification.

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 is 'Text Entropy: Text Entropy', a tautology that merely repeats the tool name without stating a verb, resource, or expected outcome. It does not distinguish this tool from any of the many sibling text-analysis tools (e.g. x402-shannon-entropy, x402-text-stats, x402-entropy).

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?

There is no guidance about when to use this tool, what it computes, or how it differs from the numerous entropy/text siblings. No conditions, prerequisites, or alternatives are mentioned.

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