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

No annotations are provided, so the description carries the full burden of explaining behavior. It only states that the tool is the first question of a decision guide; it does not say what happens when invoked, whether it returns a question, whether it creates state, or how the agent should proceed after calling it.

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 brief and free of fluff, but it is under-specified rather than efficiently concise. A single noun phrase leaves the agent without enough actionable structure about what the tool does or returns.

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 annotation context, the description should explain what the agent can expect from calling this tool and how it fits into the decision guide flow. It only labels the tool as the first question, leaving critical operational context missing.

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 the input schema is empty, so there are no parameter semantics for the description to clarify. A baseline of 4 is appropriate because no parameter documentation burden exists.

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 identifies the tool as 'the first question' of the 'Which trial route fits?' decision guide, so an agent can infer it is the entry point. However, it uses a noun phrase rather than a specific verb like 'starts' or 'returns', and it does not clearly distinguish the tool's function from checker_answer or checker_tree beyond its name.

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?

There is no guidance on when to call this tool versus alternatives such as checker_answer or checker_tree. The word 'first' implies usage at the beginning of the guide, but the description does not state prerequisites, next steps, or conditions for choosing a sibling tool.

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