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 describes the content (questions, options, verdicts) but does not state what happens when called, the output format, size, side effects, or whether it is a read-only operation, leaving behavior to inference.

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 compact sentence with no wasted words, and it front-loads the content scope. However, it sacrifices actionable specificity for brevity, so it is concise without being exemplary.

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 annotations and no output schema, the description is the only source of context. It fails to explain the output format, the relationship to sibling tools, or practical usage, making it insufficient for an agent to invoke it correctly with confidence.

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 declares zero parameters, so the baseline is 4. The description adds no parameter-level details, but none are needed since the tool takes no input.

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 states the tool exposes every question, option, and verdict in the Bin rules checker guide, which clarifies the resource's scope beyond the title's 'whole decision tree'. However, it lacks an explicit action verb like 'returns' or 'lists' and does not differentiate it from siblings such as checker_start or checker_answer.

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' hints at a use case but gives no explicit guidance on when to choose checker_tree over checker_start, checker_answer, or the enquiry_* tools. No alternatives, exclusions, or prerequisites are mentioned.

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