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

With no annotations, the description carries the burden of behavioral disclosure. It does reveal that the tool exposes the entire tree—every question, option, and verdict—rather than a partial view. It does not state the output format, size, or that it is a read-only informational tool, but for a zero-parameter static tree this is a tolerable 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?

The description is a single, compact sentence that front-loads the key content ('Every question, option and verdict') and ends with the intended purpose. Every word adds value and there is no redundancy.

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, parameterless tool with no output schema, the description is reasonably complete: an agent knows what the tool contains and why it would be used. It could be slightly stronger by describing the response shape or how the tree is organized, but nothing is critically missing for basic invocation.

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 has zero parameters and schema coverage is 100%, so there are no parameter semantics to clarify. The baseline for a parameterless tool is 4, and the description does not need to add anything.

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: the complete decision tree for the 'Which Portuguese descent route?' guide, containing every question, option, and verdict. It does not use a direct imperative verb like 'returns' or 'provides', but the meaning is unambiguous and 'whole decision tree' distinguishes it from likely step-by-step sibling tools.

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?

'For reasoning end to end' gives an implied usage context: use this tool when you need the full tree rather than one step. However, it does not explicitly state when to prefer checker_start or checker_answer instead, nor does it name any alternatives or exclusions.

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