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, and it discloses nothing: no return shape, no formula, no handling of empty input, no indication whether the result is a fraction, percent, or count. The one sentence present is a restatement of the title.

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 shortness here reflects under-specification rather than conciseness: the 'Content Word Ratio:' prefix merely duplicates the tool name and the remainder repeats the title verbatim. Nothing in the 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?

For a tool with no annotations, no output schema, an undefined core concept ('content word'), and two ambiguous input parameters, the description is completely inadequate. An agent cannot determine what the tool returns or how to call it correctly.

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 nominally 100%, but the two parameters are near-duplicates ('text' = 'Text to process' and 'input' = 'Input to process'), creating a real ambiguity the description does not resolve. The description adds no information about which parameter is expected, whether either is required, or what formats are accepted.

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 'Content Word Ratio: Ratio of content word' is a near-tautology that restates the tool name rather than stating a verb and resource. It gestures at a linguistic metric but never says what is computed (content words vs. total words, what counts as a 'content word') or how it differs from sibling metrics like x402-word-density, x402-lexical-diversity, or x402-type-token-ratio.

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 when-to-use, when-not-to-use, or alternative routing guidance at all. With hundreds of sibling text-metric tools available, an agent gets zero signal about when this tool is the right choice over word-count, word-density, or lexical-diversity.

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