The whole decision tree
checker_treeEvery question, option and verdict of the School catchment checker guide, for reasoning end to end.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
checker_treeEvery question, option and verdict of the School catchment checker guide, for reasoning end to end.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the behavioral burden. It does state that the tool returns the complete set of questions, options, and verdicts, which is meaningful disclosure of scope. However, it does not describe the output structure, traversal format, or whether the result is read-only, leaving notable gaps.
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, tightly written sentence that leads with the most important content ('Every question, option and verdict'). Every phrase earns its place, and no filler is present.
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 retrieval tool, the description provides a solid outline of what is returned: the entire decision tree with its questions, options, and verdicts. It would benefit from a little more detail about how the tree is structured, but the absence of parameters and the simple domain make this mostly complete.
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?
There are zero parameters, so the input schema carries no semantic burden. The baseline for a parameterless tool is 4, and the description does not need to explain parameter meaning it cannot have.
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 clearly identifies the resource: every question, option, and verdict in the School catchment checker guide. It conveys that the tool exposes the complete decision tree, but it lacks a direct action verb and does not explicitly contrast with sibling tools such as checker_answer or checker_start.
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 this tool should be used when an agent needs the full decision tree rather than a single step. No explicit when-to-use/when-not-to-use guidance or alternatives are named, so the usage guidance is only implied.
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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