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

With no annotations, the description carries the full burden of behavioral disclosure. It does state the tool provides all questions, options, and verdicts, which signals a read-only, comprehensive retrieval. However, it does not disclose potential size/volume, output format, or any side-effect/pagination behavior, leaving some behavioral aspects unspecified.

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, front-loaded sentence that efficiently captures the tool's content and purpose. It contains no filler or redundant information. It could be slightly more structured (e.g., stating 'returns the full tree'), but it is appropriately concise.

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?

Given the low complexity (no parameters, no annotations, no output schema), the description is largely sufficient: it tells the agent exactly what data the tool exposes and hints at the end-to-end reasoning use case. It does not explain how the tree relates to the sibling checker tools, which prevents a perfect score, but for zero-param invocation this is a minor 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 tool has zero parameters, and the schema is an empty object with 100% coverage. The baseline for 0 params is 4, and the description adds no unnecessary parameter commentary. It correctly conveys that no input is needed to retrieve the whole tree.

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's content: every question, option, and verdict of the MiCA requirements checker guide. The phrase 'whole decision tree' in the title and 'Every...' in the description convey that this is the complete dataset. However, it lacks an explicit action verb like 'returns' or 'retrieves', and it does not directly name sibling tools to differentiate itself, so it stops short of a 5.

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 meant for scenarios requiring the full decision tree rather than step-by-step interaction. No explicit guidance is given on when to use this versus checker_start, checker_answer, or the enquiry_* siblings, making the usage context only implied rather than clearly stated.

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