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create_thinking_chain

Read-onlyIdempotent

Generate sequential reasoning chains to structure complex thinking processes by breaking topics into logical steps for clearer analysis.

Instructions

생각 과정|사고 흐름|연쇄적으로|thinking process|chain of thought|reasoning chain - Create sequential thinking chain

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesTopic to think about
stepsNoNumber of thinking steps
Behavior4/5

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

Annotations indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=false, covering safety and idempotency. The description does not contradict these and adds context by implying sequential, chain-like reasoning, though it lacks details on output format or rate limits. With annotations present, the bar is lower, and the description provides some behavioral insight beyond annotations.

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

Conciseness2/5

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

The description is inefficiently structured with repetitive terms like '생각 과정|사고 흐름|연쇄적으로|thinking process|chain of thought|reasoning chain' before stating 'Create sequential thinking chain', which adds noise without value. It could be more front-loaded and concise, as the repetition does not earn its place.

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

Completeness3/5

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

Given the tool has annotations covering key behavioral traits and a fully described input schema but no output schema, the description is minimally adequate. However, it lacks details on what the thinking chain output entails or how it integrates with sibling tools, leaving gaps in contextual understanding for an AI agent.

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

Parameters3/5

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

Schema description coverage is 100%, with parameters 'topic' and 'steps' clearly documented in the schema. The description does not add any meaning beyond the schema, such as explaining what constitutes a 'step' or how the topic influences the chain. Baseline is 3 since the schema handles parameter documentation adequately.

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

Purpose3/5

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

The description states the tool creates a sequential thinking chain, which indicates its purpose, but it's vague and repetitive with terms like 'thinking process' and 'chain of thought' without specifying what the chain is used for or how it differs from siblings like 'step_by_step_analysis' or 'apply_reasoning_framework'. It lacks a clear verb-resource distinction beyond 'create'.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool versus alternatives such as 'step_by_step_analysis' or 'apply_reasoning_framework', nor any context on prerequisites or exclusions. The description only repeats the tool's function without providing usage scenarios.

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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