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The whole decision tree

checker_tree

Every question, option and verdict of the What applies when you leave? guide, for reasoning end to end.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral burden itself. It discloses the output composition (every question, option, verdict) but does not explicitly say the tool 'returns' this data or describe any operational traits such as response size, structure, or read-only status. Still, the lack of parameters and the static description imply a safe, read-only retrieval, so it is adequate but not rich.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that front-loads the content ('Every question, option and verdict') and ends with the purpose. No filler; every word contributes.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no parameters and no output schema, the description is largely self-sufficient: it tells an agent that the entire decision tree is available in one call for end-to-end reasoning. It doesn't detail the tree's format or how to combine it with sibling tools, but such details are not essential for a whole-tree resource.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters and the schema is an empty object, so there are no parameter semantics for the description to add. Baseline for 0-param tools is 4, and the description correctly avoids inventing parameter details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description identifies the resource—the complete decision tree of the 'What applies when you leave?' guide—and signals its scope ('Every question, option and verdict', 'whole' from the title). It lacks an explicit verb like 'returns' or 'lists', which prevents a 5, but it clearly differentiates from stepwise siblings by emphasizing end-to-end content.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'for reasoning end to end' explicitly states the intended use case: obtaining the full tree rather than a single answer or start step. It does not name the sibling tools or state when not to use it, so it falls short of a 5, but the context is clear.

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

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