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

There are no annotations, so the description carries the behavioral burden. It discloses that the tool contains the entire decision tree, which signals a read-style data access, but it does not explicitly state that it is read-only or describe how the tree is returned. For a zero-parameter retrieval tool this is adequate but minimal.

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 names the artifact and its purpose without filler. Every word earns its place, and it is easy to scan.

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, the description is mostly complete: it tells the agent what content is covered — questions, options, and verdicts — and why it would be used. It stops short of giving explicit selection criteria relative to the sibling tools, but the low complexity and absence of parameters keep the gap small.

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?

With zero parameters and 100% schema coverage, there is nothing for the description to add about parameter meaning. The baseline of 4 applies because parameter semantics are effectively moot for this tool.

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 names a concrete artifact — every question, option and verdict of the Workplace recycling duty checker guide — so the agent knows what this tool exposes. It lacks an explicit verb such as 'return' or 'get', and the title carries some of the meaning, but it is clearly distinguished from the step-by-step sibling tools by its 'whole decision tree' scope.

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 the tool is for whole-tree reasoning rather than single-step answers. It does not explicitly state when to choose this over checker_answer or checker_start, nor does it give any exclusions, so the usage guidance is implied rather than stated.

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