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

With no annotations provided, the description carries the full burden of behavioral disclosure. It inventories the content scope (every question, option, verdict) but says nothing about return format, tree structure, ordering, or whether any information is excluded. An agent knows what content domain to expect, not what the tool actually returns.

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?

A single 20-word sentence that front-loads the content inventory and closes with the purpose. Minor redundancy: 'Every question, option and verdict' largely restates the title 'The whole decision tree', but the added guide name prevents it from being purely tautological.

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 content tool, the description is adequate: it names the content source and its purpose. However, with no output schema, it leaves the return representation (structured tree? flat list? JSON?) and the shape of the 'verdicts' unstated, which an agent would need to predict the result reliably.

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 schema trivially covers 100% and the baseline of 4 applies. The description correctly adds no parameter-related noise because there is nothing to document.

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 precisely: 'Every question, option and verdict of the Which mail merge to PDF route? guide', which clearly distinguishes it from the sibling checker_answer/checker_start tools (the full tree vs. individual steps). It lacks an explicit verb stating what the tool does with the tree — retrieve it? render it? — but the intent is evident from the naming and phrasing.

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?

'For reasoning end to end' is an implied usage signal — this tool is for traversing the whole guide rather than fetching one answer — but it never names alternatives or states when checker_answer, checker_start, or the enquiry_* tools should be used instead. The guidance is suggestive, not explicit.

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