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

With no annotations, the description carries the burden of disclosure. It accurately reveals the tool's content scope ('every question, option and verdict') but does not describe the output format, size, or whether it is a static snapshot. This is a moderate disclosure for a read-like tool without annotations.

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 states the subject, scope, and intended purpose without any filler. Every phrase contributes to the agent's understanding.

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 parameterless tool with no output schema, the description provides the key facts: it returns the complete decision tree of the checker guide for end-to-end reasoning. It could add structure details, but the current content is sufficient for an agent to decide to call it and know what it will receive.

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 no properties and schema description coverage is 100%, so there are no parameters to document. The baseline for zero-parameter tools applies; the description adds no parameter semantics but none are 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 identifies a specific resource (the Malta VAT registration checker guide) and explicitly states its scope: every question, option, and verdict in the decision tree. This clearly distinguishes it from sibling tools such as checker_answer or checker_start, which handle individual steps or starting points.

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' gives a clear context for when an agent should use this tool: when the full decision tree is needed, not a single answer. It does not explicitly list exclusions or alternative tool names, but the usage context is sufficiently implied.

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