Extraer informacion de Paises y Ciudades

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

The description adds behavioral context beyond the annotations: it generates an .xlsx file and returns preview rows already parsed. This is valuable because there is no output schema. It also discloses that the tool is a read operation in alignment with readOnlyHint true, with no contradiction. The file-generation side effect is not destructive, so no issue.

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 concise sentences with no fluff. Front-loaded purpose, then key output behavior. Every word 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 13 params and no output schema, the description plus schema provides sufficient information to invoke correctly. The description fills the gap of what the tool returns (parsed preview rows), but doesn't describe the row structure. Still, for invocation purposes, the information is complete enough.

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?

Input schema has 100% description coverage for all 13 parameters, including defaults and examples. The description itself adds no extra parameter meaning, so the schema does the heavy lifting. 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?

The description clearly states 'Extraer informacion de Paises y Ciudades' (extract country and city information) and identifies the specific SIIGO function GETCIU. This specific verb+resource clearly distinguishes it from sibling tools like siigo_getmov or siigo_getcta, which target other data types.

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 clear context: use this when you need country/city information from SIIGO Pyme. It doesn't explicitly list exclusions or alternatives, but the resource specificity makes appropriate usage obvious. The mention of function GETCIU and the xlsx output further clarifies the use case.

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