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

With no annotations or output schema, the description carries the burden of explaining behavior. It discloses that the tool provides the entire set of questions, options, and verdicts, which is useful, but it does not describe the output format, size, or whether this is a read-only lookup. These gaps are modest for a zero-parameter tool.

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 sentence with no wasted words. It front-loads the core content ('Every question, option and verdict') and immediately conveys the tool's purpose.

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 zero-parameter tool, the description adequately conveys what the agent will get: the complete decision tree. Minor gaps remain around the exact output representation and how it relates to the step-by-step sibling tools, but nothing critical is 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 input schema is empty and schema description coverage is 100%, so there are no parameters needing clarification. The description implies no input is required, which is sufficient; the baseline of 4 is appropriate for a zero-parameter tool.

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 resource as the complete decision tree and enumerates its contents ('Every question, option and verdict'), which is clear and specific. It does not use an explicit verb like 'returns' or explicitly distinguish itself from checker_answer/checker_start, but the scope is evident.

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 this tool is for getting the full picture rather than a single step, which gives some context. However, it does not explicitly say when to use this tool versus checker_answer or checker_start, and no exclusions are mentioned.

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