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refactor-code

Refactor code snippets by applying specific instructions, using optional file context for precision. Supports multiple programming languages to enhance code quality and maintainability.

Instructions

Refactors a given code snippet based on specific instructions, optionally using surrounding file context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeContentYesThe actual code snippet to be refactored.
contextFilePathNoOptional relative path to a file whose content provides broader context for the refactoring task.
languageYesThe programming language of the code snippet (e.g., 'typescript', 'python', 'javascript')
refactoringInstructionsYesSpecific instructions on how the code should be refactored (e.g., 'extract the loop into a separate function', 'improve variable names', 'add error handling', 'convert promises to async/await').
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. While it states the tool refactors code based on instructions, it doesn't describe what 'refactor' entails operationally—e.g., whether it modifies code in-place, returns transformed code, handles errors, requires specific permissions, or has rate limits. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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 a single, efficient sentence that front-loads the core purpose without unnecessary words. It clearly states what the tool does and includes the optional context aspect, making every part of the sentence earn 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 complexity of a code refactoring tool with no annotations and no output schema, the description is insufficient. It doesn't explain what 'refactor' means in practice, what the output looks like (e.g., transformed code, error messages), or behavioral aspects like safety or limitations. For a 4-parameter tool that performs mutations, more context is needed to guide effective use.

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 all parameters well-documented in the schema itself. The description adds minimal value beyond the schema, mentioning 'code snippet' and 'surrounding file context' which align with 'codeContent' and 'contextFilePath' parameters but don't provide additional semantic context. Baseline 3 is appropriate when the schema does the heavy lifting.

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: 'Refactors a given code snippet based on specific instructions, optionally using surrounding file context.' It specifies the verb ('refactors'), resource ('code snippet'), and scope ('optionally using surrounding file context'). However, it doesn't explicitly distinguish this tool from sibling tools like 'generate-code-stub' or 'analyze-dependencies', which might also involve code manipulation.

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. It mentions optional context usage but doesn't specify scenarios where this tool is appropriate compared to siblings like 'generate-code-stub' for creating new code or 'analyze-dependencies' for code analysis. There's no mention of prerequisites, limitations, or typical use cases.

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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