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

With no annotations provided, the description carries the full burden. It discloses that the tool returns the entire decision tree content ('every question, option and verdict'), implying a static informational read. It does not discuss output format, size, or state, but for a zero-parameter content tool this is a reasonable baseline.

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 that front-loads the key idea ('every question, option and verdict') and then states the purpose. Every word contributes meaning, with no filler or redundancy beyond the title.

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 no-parameter tool with no output schema or annotations, the description gives the essential content scope and intended use. However, it does not clarify how the tree is structured or how the agent should consume the result when reasoning end to end, leaving some ambiguity about the return format.

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, so the baseline is 4. There is nothing for the description to add about parameter semantics; the empty schema already tells the agent no input is needed.

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 tool as exposing the complete decision tree for the Revalidation requirements checker, listing its contents ('every question, option and verdict'). It is somewhat redundant with the title but adds the specific purpose of end-to-end reasoning, which helps distinguish it from the step-oriented checker_answer and checker_start siblings.

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' communicates when this tool should be used: when the agent needs the full decision structure rather than a single step or answer. It does not explicitly name alternatives or exclusions, but the context is clear enough given the sibling names.

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