The whole decision tree
checker_treeEvery question, option and verdict of the Find the fund that fits your club guide, for reasoning end to end.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
checker_treeEvery question, option and verdict of the Find the fund that fits your club 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 carries the behavioral burden. It reveals the tool's output scope: the entire tree with all questions, options, and verdicts. It does not explicitly confirm side-effect-free behavior, but for a parameterless content-providing tool this is a reasonable implication.
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 one sentence and conveys the essential scope without padding. The phrasing is slightly awkward and somewhat redundant with the title, but it remains compact and readable.
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 with no output schema and no annotations, the description provides enough context: the whole decision tree is returned for end-to-end reasoning. It could mention the format or size, but the omission is acceptable given the tool's simplicity.
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 and the input schema is empty, so no parameter documentation is needed. The baseline of 4 applies because the description cannot meaningfully add parameter semantics where none exist.
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 as the complete decision tree for the 'Find the fund that fits your club' guide, naming its contents: every question, option, and verdict. It is distinguishable from sibling tools like checker_start or checker_answer, which likely handle individual steps, though it never states an explicit verb like 'retrieve' or 'return'.
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 getting the full tree at once rather than stepping through it. However, it does not explicitly state when to prefer this over checker_answer or checker_start, nor any exclusions or prerequisites.
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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