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convert_anonymous_to_lambda

Replace anonymous class implementations of functional interfaces with lambda expressions. Requires file path and zero-based line/column of the 'new' keyword.

Instructions

Convert an anonymous class implementing a functional interface to a lambda expression.

Returns the text edit needed to convert the anonymous class to a lambda. The caller should apply this edit to perform the conversion.

USAGE: Position cursor on the 'new' keyword of the anonymous class OUTPUT: Edit to replace anonymous class with lambda

IMPORTANT: Uses ZERO-BASED coordinates. REQUIREMENTS: The anonymous class must implement a functional interface (exactly one abstract method).

Requires load_project to be called first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYesPath to source file
lineYesZero-based line number of anonymous class (on 'new' keyword)
columnYesZero-based column number
Behavior4/5

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

Describes output as a text edit to be applied, zero-based coordinates, and prerequisite. No annotations exist, so description carries the burden and does so well, though could mention side effects.

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?

Structured with clear sections (USAGE, OUTPUT, IMPORTANT, REQUIREMENTS), concise and front-loaded with essential information.

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?

Covers usage, output type, coordinate system, prerequisites, and requirements. No output schema needed as return type is described.

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

Parameters4/5

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

Schema coverage is 100%, but description adds detail like zero-based coordinates and positioning on 'new' keyword, enhancing meaning beyond 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 converts an anonymous class to a lambda expression, specifying verb, resource, and result. It distinguishes from sibling refactoring tools.

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?

Provides explicit usage instructions (cursor on 'new' keyword), requirements (functional interface), and prerequisite (load_project). Lacks 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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