Verificar la hora oficial de Chile

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

Annotations only cover readOnlyHint and openWorldHint, and the description adds substantial context beyond them: the server's existing self-correction behavior, what the tool returns (offset, correction status, tz database version), a known failure mode (UDP port 123 blocked on corporate networks) and how it degrades gracefully rather than failing.

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?

Three sentences ordered by importance: what it does, when to use it, then behavioral/edge-case detail. Efficient overall, though the time-zone-database clause is slightly dense relative to the tool's simple purpose.

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 output schema and no parameters, the description carries the full burden and does so well: it explains the return content, the network failure behavior, and the relationship to the server's own time correction. An agent has everything needed to call it and interpret results.

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?

The tool takes no parameters, so the baseline of 4 applies. Nothing more is needed and the description correctly avoids padding with irrelevant input detail.

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 concrete verb+resource: comparing the local machine clock against official Chilean time from ntp.shoa.cl (SHOA). This is unmistakably distinct from every sibling tool, which all deal with Mercado Público procurement data, so no ambiguity exists.

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?

Gives explicit usage contexts ('when deadlines don't line up' or 'before deciding on a tight closure') and notes it does not consume API quota, plus the useful fact that the server already self-corrects deadlines. It stops short of naming a counterfactual alternative, but none exists among the siblings.

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