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

Goes well beyond the annotations by adding determinism, absence of network access and stored state, and concrete limits (64 KB JSON input, 1 s per call, 1 MB result). Those limits are operational constraints an agent cannot get from readOnlyHint/idempotentHint and directly affect how it should batch or size calls.

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?

Front-loaded with the action and split by labeled clauses (Cuándo / No para / Efectos / Límites), so the agent can scan it. The full Spanish and English duplication doubles the length without adding new information for any single reader.

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 one-parameter pure function with an output schema, the description covers action, scope, exclusions, side effects, determinism and size/time limits — nothing needed to call it correctly is missing.

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 100% and the single 'text' parameter is documented, so the baseline is 3. The description still adds real meaning by explaining how the input is split into words and that Unicode letters survive, which is semantics the schema does not express.

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 and resource ('Convierte texto o un identificador a PascalCase') and spells out the tokenization rules (spaces, punctuation, camelCase/acronym boundaries, Unicode preserved). It explicitly names the sibling it is not (case-camel), so an agent can route between the case-* family without opening schemas.

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?

Contains labeled 'When' and 'Not for' clauses, with the alternative named explicitly ('convertir texto a camelCase (case-camel)'). The condition that selects this tool over its sibling is stated outright rather than left to inference.

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