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

With no annotations, the description carries the disclosure burden. It does add useful behavior context: the algorithm is "simple English" (not a full morphological analyzer) and the return is the stemmed form. It omits what happens with multi-word input despite mentioning "text," and gives no error behavior.

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?

Two compact sentences with the core capability front-loaded. The promotional free-trial line and emoji are noise for tool selection but do not obscure the purpose.

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 trivial single-input transformation with no output schema, the description covers the essentials of what goes in and what comes out. It falls short on the three-parameter ambiguity, which is the main thing an agent needs resolved before calling.

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 0% and there are three parameters (text, word, input), but the description only says "Provide word or text" — the third parameter "input" is never mentioned, and no guidance is given on which of the three to use or whether they are aliases. This actively leaves ambiguity unresolved.

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?

"Apply a simple English stemming algorithm to a word" states a specific verb and resource, and "returns the stemmed form" names the output. It does not, however, distinguish this from the closely named sibling x402-stem-word or from x402-lemmatize, so an agent cannot tell which to pick from purpose alone.

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 on when to choose this over x402-stem-word, x402-lemmatize, or x402-singularize, and no stated prerequisites. Usage is only implied by the tool name and the word "stem."

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