The whole decision tree
checker_treeEvery question, option and verdict of the Which PDF to CSV route? guide, for reasoning end to end.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
checker_treeEvery question, option and verdict of the Which PDF to CSV route? 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?
No annotations are present, so the description carries the transparency burden. It discloses the content scope and reasoning purpose, which implies a read-only, informational operation, but it does not state return format, size, or any side-effect/safety profile. For a parameterless content-retrieval tool this 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence that front-loads the core content scope (every question, option, and verdict) and adds a concise purpose clause. No filler or repetition of the tool name/title.
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, static decision-tree retrieval, the description tells the agent what it will get and why it is useful. It could be more complete by noting output format or that checker_answer/checker_start cover focused steps, but nothing essential for a correct call is missing.
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 takes zero parameters, so the schema is complete and there are no parameter semantics to document. The description correctly focuses on what the returned tree contains rather than input details, matching the baseline for parameterless tools.
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 'Which PDF to CSV route?' guide, enumerating questions, options, and verdicts. It implies a retrieval use but lacks an explicit verb such as 'returns', and only weakly differentiates itself from the checker_answer/checker_start siblings.
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?
Usage is implied by 'for reasoning end to end': an agent can infer this tool is for the whole guide rather than a single step. There is no explicit when-to-use guidance, no exclusion of the sibling tools, and no note about preferring checker_start/checker_answer for focused queries.
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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