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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description nonetheless adds concrete operational context the annotations lack: no network, no stored state, determinism, and explicit limits (64 KB input, 1 s per call, 1 MB result). No contradiction with the 4096-char schema cap since one bounds the field and the other the whole JSON payload.

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?

Well front-loaded and organized with explicit labels (When / Not for / Side effects / Deterministic / Limits). The main inefficiency is that the entire content is duplicated verbatim in Spanish and English, roughly doubling length without adding information.

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?

Output schema exists, annotations cover the safety profile, and the schema fully documents the single parameter. The description supplies the remaining decision-relevant facts an agent needs: exactness of transformation, the alternative tool, determinism, and size/time limits.

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?

Only one parameter and schema description coverage is 100%, so the schema already fully documents 'text' (required, up to 4096 chars, example). The description adds only the behavioral note that Unicode letters are preserved, which is about output rather than the parameter itself. Baseline 3 is appropriate.

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 ('Converts text or an identifier to dot.case') and specifies the tokenization rules (spaces, punctuation, camelCase/acronym boundaries) plus Unicode preservation. An agent can tell it apart from case-camel/case-snake/case-kebab converters without opening the schema.

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?

Explicit 'When:' clause and an explicit 'Not for:' clause that routes to the sibling case-detect. However, it never distinguishes this from the other case-* converters (case-snake, case-kebab, etc.), which are the closest alternatives, and the 'When' phrasing ('transformed, compared or measured exactly') is somewhat abstract.

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