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

With no annotations, the description must carry the transparency burden. It communicates that the tool returns today's quiniela heads per lottery and per draw, but it does not clarify operational details such as when results become available, timezone assumptions, or whether only heads are included rather than full prize tables.

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?

The description is a single focused sentence with no filler. It front-loads the main resource and then adds the relevant detail about lotteries and per-draw granularity.

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 parameterless read-only data tool, the description covers the key facts: scope (today), content (heads), breakdown (by lottery, per draw). The main gap is the absence of any expected response shape, though no output schema exists and the complexity is low.

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 zero parameters and the schema already states this, so the baseline of 4 applies. There is no parameter information for the description to add.

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 identifies the resource: today's Argentine quiniela results, broken out by lottery and draw. It does not, however, explicitly contrast itself with the sibling get_loterias, so it stops short of full differentiation.

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 intended use is implied: call this for today's quiniela results rather than general lottery information. No when-not-to-use conditions or references to alternative tools are given.

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