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preview_refactoring

Read-onlyIdempotent

Preview refactoring changes in a dry-run mode, displaying the diff without modifying files. Always preview before applying to avoid unintended modifications.

Instructions

Preview what changes a refactoring would make without applying them.

This is a dry-run mode that shows the diff of what would change, without actually modifying any files. Always preview before applying.

Args: refactoring: Name of the refactoring (e.g., 'extract-method') target: Target in language-native format (e.g., 'src/order.py::Order::calculate#L10-L15') params: Refactoring-specific parameters (e.g., {'name': 'calculate_tax'})

Returns: TOON-formatted string with preview results including diff.

Example: preview_refactoring( refactoring="extract-method", target="src/order.py::Order::calculate#L10-L15", params={"name": "calculate_tax"} )

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refactoringYes
targetYes
paramsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds that it is a dry-run showing diff without modifying files, and specifies the return format (TOON-formatted string). This provides behavioral context 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.

Conciseness5/5

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

The description is succinct, front-loaded with a clear purpose, and uses structured sections (Args, Returns, Example). Every sentence adds value without redundancy.

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

Completeness5/5

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

Given the tool's complexity (3 params, output schema), the description provides complete context: purpose, dry-run behavior, parameter formats, return type, and an example. The output schema exists but description still summarizes return type sufficiently.

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

Parameters5/5

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

With 0% schema description coverage, the description fully compensates by explaining each parameter with examples (refactoring, target, params) and showing a full example call. This adds critical meaning beyond the bare schema.

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

Purpose5/5

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

The description clearly states the tool's verb (preview), resource (refactoring changes), and mode (without applying). It distinguishes itself from sibling tools like 'apply_refactoring' by highlighting the dry-run nature.

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

Usage Guidelines4/5

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

The description explicitly advises 'Always preview before applying,' which implies when to use it. It also clarifies it does not modify files, contrasting with the sibling 'apply_refactoring'. No explicit when-not-to-use, but context is clear.

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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