Skip to main content
Glama

convert_anonymous_to_lambda

Converts an anonymous class implementing a functional interface to a lambda expression. Provide the file path and zero-based cursor position on 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
Behavior3/5

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

No annotations, so description carries full burden. Discloses return type (text edit), coordinate system (zero-based), and requirement. Does not mention potential failure modes or side effects of applying the edit.

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?

Five sentences covering purpose, usage, output, importance note, and prerequisites. No redundancy, well-organized, front-loaded with key action.

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?

With only 3 required parameters and no output schema, description fully explains return value (text edit), prerequisites, and coordinate system. No gaps for typical usage.

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 covers parameters but description adds valuable context: zero-based coordinates and the exact location ('new' keyword). Provides usage nuance beyond schema's type definitions.

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?

Clearly states the action (convert anonymous class to lambda) and the resource (anonymous class implementing functional interface). Distinguishes from sibling refactoring tools. Uses specific verb+resource.

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 or alternatives, but context is clear enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/pzalutski-pixel/javalens-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server