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extract_constant

Extract a selected expression into a static final constant at class level, improving code readability and maintainability. Specify the expression range and constant name to generate the necessary text edits.

Instructions

Extract an expression into a static final constant at class level.

Returns the text edits needed to extract the expression. The caller should apply these edits to perform the extraction.

USAGE: Select expression by providing start and end positions OUTPUT: Constant declaration and replacement edits

IMPORTANT: Uses ZERO-BASED coordinates.

Requires load_project to be called first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filePathYesPath to source file
startLineYesZero-based start line of expression
startColumnYesZero-based start column of expression
endLineYesZero-based end line of expression
endColumnYesZero-based end column of expression
constantNameYesName for the constant (should be UPPER_SNAKE_CASE)
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that the tool returns text edits and that the caller must apply them, implying no direct modification. It also mentions zero-based coordinates. However, it lacks details on error handling, permissions, or side effects, which limits transparency.

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 concise with a clear structure: purpose, return value, usage, important notes, and prerequisite. Every sentence is necessary and informative, making it highly efficient.

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

Completeness4/5

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

Given the tool's complexity (6 parameters, no output schema, no annotations), the description covers the essential aspects: what it does, how to use it, and what it returns. It could mention error conditions or coordinate validation, but overall it is fairly complete.

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 coverage is 100%, so baseline is 3. The description adds no new parameter meaning beyond what the schema already provides (e.g., zero-based coordinates, constant name convention). It does not compensate for any missing schema details.

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 purpose: 'Extract an expression into a static final constant at class level.' This distinguishes it from sibling tools like extract_variable (local variable) or extract_method (method), making its purpose specific and unambiguous.

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 provides explicit usage guidance: 'USAGE: Select expression by providing start and end positions' and notes the prerequisite 'Requires load_project to be called first.' While it doesn't discuss when not to use the tool, it offers sufficient context for correct invocation.

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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