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refactor_advice

Provides refactoring advice for React or Kubernetes code snippets and descriptions to improve code quality and maintainability.

Instructions

Get refactoring advice for a specific technology and query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
technologyYesThe technology to provide advice for. Supported: React, Kubernetes
queryYesCode snippet or description to refactor
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 states the tool 'Get refactoring advice' but doesn't describe how it behaves: e.g., whether it's a read-only operation, if it requires authentication, rate limits, or what the output format might be. This leaves significant gaps in understanding the tool's traits beyond basic functionality.

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: 'Get refactoring advice for a specific technology and query.' It's front-loaded with the core purpose, has zero waste, and is appropriately sized for a simple tool with two parameters. Every word earns 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's moderate complexity (2 required parameters, no output schema, no annotations), the description is minimally adequate. It covers the purpose but lacks behavioral details and usage guidelines. With no output schema, it doesn't explain return values, but for a query-based tool, this might be acceptable if the behavior were clearer. It meets the minimum viable standard with clear gaps.

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 schema description coverage is 100%, with clear descriptions for both parameters, including an enum for 'technology'. The description adds no additional meaning beyond the schema, such as examples or constraints. Since the schema does the heavy lifting, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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: 'Get refactoring advice for a specific technology and query.' It specifies the verb ('Get refactoring advice') and resource ('for a specific technology and query'), making the function unambiguous. However, it doesn't explicitly differentiate from the sibling tool 'technology_best_practices', which might cover similar ground, so it doesn't reach the highest score.

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 doesn't mention the sibling tool 'technology_best_practices' or any other contexts, prerequisites, or exclusions. Usage is implied by the purpose but lacks explicit direction, leaving the agent to infer based on the name and parameters alone.

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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