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: not what the output represents (ratio of target word to total words?), not the return format, and not any constraints. For a zero-annotation tool this is a complete gap.

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 extremely short, but this is under-specification rather than conciseness. The single clause restates the title and carries no front-loaded actionable information.

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, four ambiguous parameters, and a description that says nothing beyond the name, an agent has insufficient information to invoke this tool correctly. The definition is fundamentally incomplete.

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 descriptions are generic placeholders ('Term to process', 'Text to process', 'Word to process', 'Input to process') and the description does not disambiguate which parameter holds the target word versus the source text, leaving real ambiguity unaddressed.

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 'Word Density: Density of word' is essentially a tautology that restates the tool name without naming a verb or clarifying what is actually computed. It does not distinguish the tool from siblings like x402-word-count, x402-word-frequency, x402-keyword-density, or x402-lexical-diversity.

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 on when to use this tool versus the many competing text-metric siblings, nor any exclusions or prerequisites. A user must infer the use case entirely from the name.

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