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 communicates that the tool exposes the full decision tree content and contains no language suggesting side effects or mutation. However, it does not explicitly describe the response format, whether the data is static, or any constraints such as size or pagination, leaving some behavioral ambiguity.

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. Every word contributes meaning: it identifies the resource, the domain, the scope, and the intended reasoning purpose. No filler or redundant information is present.

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 tool with no parameters, no annotations, and no output schema, the description gives enough high-level context: it is the complete Prescription price checker decision tree for end-to-end reasoning. It does not specify the exact data structure returned, but the description's enumeration of contents mitigates that gap.

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 has zero parameters and 100% schema coverage, so there is no parameter ambiguity. The description does not need to explain parameters, and the baseline of 4 applies because there are no parameters to document.

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 what the tool provides: the complete decision tree of the Prescription price checker guide, including every question, option, and verdict. The 'whole decision tree' phrasing helps distinguish it from the step-oriented sibling tools checker_start and checker_answer, though it lacks an explicit verb like 'returns' or 'provides'.

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 phrase 'for reasoning end to end' implies the tool should be used when an agent needs to reason over the entire guide rather than one step at a time. However, it does not explicitly state when to prefer checker_tree over checker_start or checker_answer, nor does it give exclusion criteria.

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