aya_games_validar

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

No annotations are provided, so the description carries the full burden. It does disclose meaningful behavioral traits: the gate is executed without relying on the LLM and the tool returns a universal checklist for gates lacking automatic proof. However, it does not mention side effects, whether the operation is read-only, or what exactly the checklist contains.

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 entire description is one compact sentence with no filler or repetition. It front-loads the action, then adds the key qualifier and expected output in an efficient order.

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 annotations, the description is the only source of operational detail, but it fails to explain the checklist's format, prerequisites, or how this tool fits into the larger validation workflow. The sibling list contains several overlapping tools, and the description does not resolve that ambiguity or describe expected result structure.

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 input schema is empty with zero parameters and 100% schema description coverage, so there are no parameter semantics for the description to explain. The baseline for zero-parameter tools is 4, and the description adds no misleading information.

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 a specific action ('Executa gate estrutural de game') and a non-LLM, deterministic qualifier ('sem depender da LLM'), which distinguishes it from LLM-based validations. It also names the output ('checklist universal'), so an agent understands the tool's core function. However, it does not explicitly differentiate from siblings like aya_games_checklist or aya_validacao_gates.

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 implies usage context (structural game gates, no LLM dependency) but gives no explicit guidance on when to choose this tool over alternative validation/gate siblings. With many similar tools in the sibling list, an agent could easily pick the wrong one without more direction.

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