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. It never states what happens with an invalid/unknown form value, which form is the default, whether the operation is pure/read-only, or what the response contains. Only the basic transformation is disclosed.

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?

Very short and front-loaded with the operation, which is good. However, the second half is a pricing/trial banner ('5 free trial calls per signed wallet') that consumes space without documenting tool behavior.

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 3-parameter tool with zero annotation coverage, no output schema, and no parameter descriptions, the definition is under-specified: required-vs-optional status, default form, and the text/input distinction are all absent.

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 0% across three parameters, so the description must compensate. It loosely maps 'form' and 'text' conceptually, but leaves the third parameter 'input' completely unexplained and never clarifies how 'text' and 'input' differ or which is expected — a real ambiguity for callers.

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?

States a specific verb+resource: 'Applies a Unicode normalization form such as NFC or NFD to text'. The 'Unicode' qualifier usefully separates it from siblings like x402-normalize-whitespace, though it never explicitly names those alternatives. Clear but undifferentiated against normalize-array/normalize-vector.

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 when-to-use guidance, no exclusions, and no routing to sibling normalizers (whitespace, array, vector). The only 'context' is a promotional line about free trial calls, which does not help an agent decide when this tool is the right choice.

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