Skip to main content
Glama
dachienit

ABAP-ADT-API MCP-Server

by dachienit

extractMethodExecute

Execute extract method refactoring to improve ABAP code structure by isolating reusable code segments into separate methods.

Instructions

Executes an extract method refactoring.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refactoringYesThe refactoring object.
Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure but fails to do so. It states the action ('executes') but omits critical details: whether this is a destructive operation (likely, given 'executes'), what permissions or authentication are required, potential side effects (e.g., modifying code), error handling, or response format. This lack of transparency makes it inadequate for safe and effective tool use.

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 extremely concise—a single sentence with no wasted words. It is front-loaded and directly states the tool's action without unnecessary elaboration. While this brevity contributes to clarity in structure, it also limits informational value, but for conciseness alone, it scores highly.

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 refactoring execution tool with no annotations and no output schema, the description is incomplete. It fails to address behavioral aspects (e.g., destructiveness, auth needs), usage guidelines, or output expectations, leaving significant gaps. The high schema coverage for the single parameter does not compensate for these broader contextual deficiencies, making the tool description insufficient for reliable agent 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?

The input schema has 100% description coverage, with the single parameter 'refactoring' documented as 'The refactoring object.' The description does not add any meaningful semantic context beyond this, such as what constitutes a valid refactoring object or its expected structure. Since the schema provides complete coverage, the baseline score of 3 is appropriate, as the description neither compensates for gaps nor enhances understanding.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Executes an extract method refactoring' is a tautology that essentially restates the tool name 'extractMethodExecute' with minimal elaboration. It specifies the verb ('executes') and resource ('extract method refactoring'), but lacks detail on what an 'extract method refactoring' entails or how it differs from sibling tools like 'extractMethodEvaluate' and 'extractMethodPreview'. This makes the purpose somewhat vague and insufficiently distinct.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

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 does not mention prerequisites (e.g., needing a refactoring object from 'extractMethodEvaluate'), exclusions, or comparisons to sibling tools such as 'extractMethodPreview' for previewing changes. This absence of usage context leaves the agent without direction on appropriate invocation scenarios.

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/dachienit/mcp-local'

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