The whole decision tree
checker_treeEvery question, option and verdict of the Which trial route fits? guide, for reasoning end to end.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
checker_treeEvery question, option and verdict of the Which trial route fits? guide, for reasoning end to end.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden. It discloses the content returned—every question, option, and verdict—but does not describe the return format, size, or whether the tool is purely read-only. Since it is a zero-parameter informational tool, this is a moderate gap rather than a contradiction.
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 compact sentence that front-loads the essential scope: 'Every question, option and verdict.' Each word earns its place, with no fluff, repetition, or unnecessary context.
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 no-input tool, the description provides the core content scope and the intended use case ('reasoning end to end'). The sibling names help position it as the full-tree counterpart to more specific checker tools. It stops short of describing output structure or explicitly contrasting with siblings, but this is acceptable for this simple tool.
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 and the input schema is empty, so schema description coverage is effectively 100%. There is nothing for the description to add about parameter meaning. The baseline of 4 for no-parameter tools applies.
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—the complete 'Which trial route fits?' decision tree—and enumerates its contents: every question, option, and verdict. It does not use a strong action verb like 'retrieve' or 'list', nor does it name a sibling directly, but 'whole decision tree' clearly contrasts with node-level tools like checker_answer and 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' gives an implied use case: call this when you want the full guide in a single view. However, it never explicitly says when to use it instead of checker_answer or checker_start, and it offers no exclusions or alternative routing. Guidance is present but only implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tools split into two clear clusters: decision-guide tools (checker_start, checker_answer, checker_tree) and enquiry tools (enquiry_describe, enquiry_fields, submit_enquiry). Each tool has a distinct role, though checker_answer and checker_tree both support reasoning through the guide and could occasionally be confused.
The checker_ and enquiry_ prefixes create a readable pattern, but submit_enquiry breaks the convention by leading with the verb instead of the domain prefix. Within the prefixed groups, terms like start, answer, tree, describe, and fields mix verb-like and noun-like naming styles.
Six tools is well-scoped for the apparent purpose: a decision guide plus an enquiry submission flow. Every tool earns its place, and the count is neither thin nor bloated.
The checker cluster gives complete coverage of the decision guide: start, step through answers, and view the full tree. The enquiry cluster covers explanation, schema, and two-step consent-based submission, so the two workflows have no dead ends.