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 discloses nothing. The text states no input scope, language assumptions, return behavior, or edge-case handling — the agent learns nothing about how the tool behaves beyond the name itself.

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 three-word description is under-specification, not disciplined conciseness. It has no informative front-loaded content and earns none of its words with useful detail.

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 2-parameter tool with no annotations and no output schema, the description leaves everything to inference: return format, which parameter to supply, and how this differs from the many sibling text-processing tools. An agent has insufficient information to select or invoke the tool 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 description coverage is 100%, so the baseline of 3 applies. However, the schema's own descriptions ('Word to process' / 'Input to process') are nearly identical and do not disambiguate the two parameters, and the description adds no clarification about which parameter is canonical.

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 'Lemmatize: Lemmatize' is a pure tautology that merely restates the tool name. While 'lemmatize' names a known linguistic operation, the description never states what input it acts on or what output it produces, so it does not clear the bar of a specific verb+resource statement.

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?

The description provides zero guidance on when to use this tool. It never mentions the closely related siblings x402-stem, x402-stem-word, x402-pluralize, or x402-singularize, leaving the agent to guess which tool fits the task.

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