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

No annotations are provided, so the description carries the full disclosure burden, yet it says nothing about the return value (a number? rounded to how many decimals?), how punctuation/whitespace affect tokenization, or behavior on empty input. This is a complete gap for a computation tool.

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?

It is short, but the brevity is under-specification rather than economy — the single fragment adds no information beyond the name, so no sentence earns 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?

With no annotations, no output schema, and an ambiguous two-parameter schema, the description must compensate for all of it and instead adds nothing. An agent has no basis for correctly supplying input or interpreting the result.

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% so the baseline would be 3, but the schema defines two near-identical optional parameters ("text" and "input", both described as "...to process") with zero required fields, and the description does nothing to disambiguate which one to supply or what happens if both are passed. The description fails to resolve a real ambiguity the schema leaves open.

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?

"Avg Word Length: Length of avg word" is a tautology that restates the tool name without adding a verb, resource scope, or any differentiator from siblings like x402-word-count, x402-avg-sentence-length, or x402-text-stats. An agent can guess the intent from the name alone, but the description contributes nothing.

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, when-not-to-use, or alternative is named, despite a very crowded sibling space of text-metric tools. Usage is only weakly implied by the name.

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