generate_integration_code

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

No annotations are present, so the description must carry the full behavioral burden, and it only claims 'producción' (production-ready) quality without explaining output format, side effects, errors, prerequisites, or determinism. With no output schema, the absence of any statement about what the tool actually returns is a real gap.

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?

A single, efficient sentence that front-loads the action verb 'Genera', names the languages, and scopes the tool to a specific endpoint. Zero filler, every phrase 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?

For a simple five-parameter tool with 100% schema coverage this is adequate at a minimum-viable level, but the absence of an output schema and annotations puts more weight on the description than it handles: it doesn't state the return value shape, when to use the tool among its siblings, or whether runtime checks depend on a valid spec/endpoint.

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%, so the baseline is 3 even though the description adds no parameter-level detail. The languages listed in the prose merely echo the enum values of the 'language' parameter, and 'segmento específico' matches 'path', so the description adds almost nothing beyond the schema.

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 uses a specific verb ('Genera') and a clear resource ('un snippet/cliente de código listo para producción... para un endpoint específico'), naming the target languages. Since all sibling tools only list, search, read, validate, or query knowledge, this is unmistakably the only code-generation tool, so it distinguishes itself implicitly.

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 provides no guidance on when to choose this tool versus any sibling, nor does it mention exclusions or prerequisites (e.g., needing a spec or a valid endpoint first). The usage context is only implied by the purpose sentence.

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