evaluar_curva_tcc_p5b

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

No annotations and no output schema, so the description carries the full behavioral burden, yet it only adds the cryptic phrase 'solo dentro del dominio publicado'. It does not disclose whether the tool is read-only, what it returns, what 'dominio publicado' means, or any side effects.

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?

It is a single short sentence, but it is under-specified rather than concise — no wasted words because there is almost no content at all. Front-loading is irrelevant given the length.

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 annotations, no output schema, two undocumented parameters, and a one-clause description, the definition is far too thin for an evaluation tool whose inputs (device and current) and result are entirely opaque.

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?

Two required parameters (dispositivo, current_a) exist with 0% schema description coverage, and the description mentions neither. There is nothing to tell the agent what 'dispositivo' expects or what units/range 'current_a' uses.

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 ('Evalúa') and resource ('la curva vinculada'), so an agent knows it evaluates a previously linked curve. However, it does not clarify what the evaluation produces or how it differs from the sibling 'evaluar_dataset_tcc_p5b', leaving the purpose only vaguely bounded.

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 gives no when-to-use context, no prerequisite (e.g., that a curve must be linked first), and never names an alternative among the many curve/dataset siblings. Usage must be inferred entirely.

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