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think_and_do

Solve problems by first thinking through reasoning steps, then executing operations in one call. Combines structured thinking with batch execution for step-by-step problem solving.

Instructions

Complete cognitive loop in one call: think through a problem, then execute operations. The ultimate galaxy brain move.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
problemYesThe problem to solve
thoughtsYesYour reasoning steps
operationsYesOperations to execute after thinking
executeNoWhether to execute immediately (default: true)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions 'think through a problem, then execute operations' and 'execute immediately,' implying a two-step process with potential mutations, but lacks details on permissions, side effects, error handling, or response format. This is inadequate for a tool that likely involves complex operations and execution.

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

Conciseness3/5

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

The description is brief with two sentences, but the second sentence ('The ultimate galaxy brain move.') is fluff that doesn't add functional value, reducing efficiency. It's front-loaded with the core purpose but could be more structured by omitting unnecessary phrases to improve clarity.

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 complexity implied by combining thinking and execution, lack of annotations, and no output schema, the description is incomplete. It fails to explain behavioral aspects like what 'execute operations' entails, potential risks, or return values. This leaves significant gaps for an agent to understand and use the tool effectively.

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%, so the input schema already documents all parameters (problem, thoughts, operations, execute) with descriptions. The tool description adds no additional meaning or context about these parameters beyond what's in the schema, such as examples or constraints. Baseline 3 is appropriate as the schema handles the heavy lifting.

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 'complete[s] cognitive loop in one call: think through a problem, then execute operations,' which provides a general purpose. However, it's vague about what specific resources or operations are involved, and the phrase 'ultimate galaxy brain move' adds ambiguity rather than clarity. It doesn't clearly distinguish this tool from siblings like 'think' or 'execute_batch,' which might handle similar functions.

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 offers no explicit guidance on when to use this tool versus alternatives. It mentions a 'cognitive loop' but doesn't specify scenarios, prerequisites, or exclusions. With siblings like 'think,' 'execute_batch,' and 'execute_plan' available, there's no indication of how this tool differs or when it's preferred, leaving usage unclear.

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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