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

No annotations are present, so the description carries the full burden. It does disclose an important behavioral trait — a per-call cost of 0.001 USDC via x402 — but it omits whether one call returns all formats simultaneously or whether casing is lossy for some inputs, and says nothing about reversibility or output shape.

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 short sentences, zero waste, with the output set front-loaded and the cost appended. Every clause 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 output schema, the description usefully enumerates the returned formats, and pricing/payment is covered by the schema. The only residual gap is confirming that all formats are returned together rather than one per call.

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% and the payment flow for `paymentProof` is documented thoroughly in the schema itself. The description adds no parameter-level meaning beyond the schema, so baseline 3 applies.

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 enumerates the nine case formats produced, which makes the tool's output identifiable, but it never states the verb or that it acts on the input `text` — an agent must infer that it converts the supplied string into all of these forms at once. Nothing distinguishes it from nearby text utilities like slugify or text_stats.

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 versus slugify, text_stats, or a formatting tool, and no statement of what happens if you only need one case. The only usage instruction (the x402 payment loop) lives in the schema, not the description.

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