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by flyanima

decompose_thinking

Break down complex problems into structured, manageable components. Choose from hierarchical, functional, or temporal decomposition methods to simplify analysis and problem-solving.

Instructions

Break down complex problems into manageable components

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
problemYesComplex problem or topic to decompose
methodNoDecomposition methodhierarchical
Behavior2/5

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

Since no annotations are provided, the description carries the full burden of disclosing behavioral traits. It does not mention side effects, required permissions, rate limits, or output format. For a decomposition tool, the agent would benefit from knowing if it modifies state or just returns a result. The description only states the action without elaboration.

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

Conciseness5/5

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

The description is extremely concise: a single sentence that clearly conveys the core functionality. It is front-loaded with the action and resource, leaving no waste. Every word earns its place.

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

Completeness2/5

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

Given the absence of an output schema and annotations, the description is incomplete. It does not explain the return format or what a 'managed component' looks like. For a moderately complex tool with an enum parameter, more context (e.g., example usage, output structure) is needed to fully inform the 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?

The input schema has 100% description coverage for both parameters (problem and method), so the baseline is 3. The description adds minimal additional meaning: it implies the 'problem' parameter is a complex problem but does not elaborate on the 'method' parameter or explain how the output relates to parameters. It does not compensate beyond the schema.

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

Purpose4/5

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

The description clearly states the tool's purpose: breaking down complex problems into components. It uses a specific verb ('Break down') and resource ('complex problems'), which is clear. However, it does not differentiate from sibling tools like 'visualize_thinking' which may perform a similar function; a brief comparison would elevate this to 5.

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?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools including 'visualize_thinking' and various search tools, the agent lacks context for choosing this tool. No when-not-to-use or prerequisite information is provided.

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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