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 whether the count is per-word or per-occurrence, whether it returns positions/categories, whether it flags or masks, or any rate/permission constraints.

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 conciseness: the one line is pure repetition of the name with zero information gain, 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, two ambiguous parameters, and a purely tautological description, an agent cannot determine what this tool returns or how to use it 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 even though the description adds no parameter meaning. However, the two parameters ('text' and 'input') appear functionally identical, and the description does nothing to disambiguate them, which weakens the definition's practical value.

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 'Profanity Count: Profanity Count' is a tautology that only restates the tool name twice. It implies profanity counting but states no verb, scope, or output, and does nothing to distinguish it from sibling text-analysis tools like x402-toxicity-score or x402-sentiment.

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 guidance whatsoever on when to use this tool, when not to, or which alternatives (e.g. toxicity-score) it competes with. The agent is left to infer everything from the name.

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