Skip to main content
Glama
dachienit

ABAP-ADT-API MCP-Server

by dachienit

stageRepo

Stage changes in a Git repository for SAP ABAP development objects using the ABAP-ADT-API MCP server to prepare code modifications for commit.

Instructions

Stages changes in a Git repository.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repoYesThe Git repository object.
userNoThe username.
passwordNoThe password.
Behavior2/5

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. It states the action ('stages changes') but does not explain what this entails (e.g., modifies the Git index, requires write permissions, may affect local repository state), nor does it cover error handling, rate limits, or output format. This leaves significant gaps in understanding the tool's behavior.

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, clear sentence with no wasted words, making it highly concise and front-loaded. It efficiently communicates the core action without unnecessary details, earning a top score for brevity and structure.

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 tool's complexity (involving Git operations with a nested object parameter), lack of annotations, and no output schema, the description is insufficient. It does not explain the 'repo' parameter's structure, the effect of staging, potential errors, or what the tool returns, leaving critical context missing for effective use by an AI agent.

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 parameters 'repo', 'user', and 'password' documented in the schema. The description does not add any meaning beyond this, such as clarifying the 'repo' object structure or when 'user' and 'password' are needed. Since schema coverage is high, the baseline score of 3 is appropriate, as the description does not compensate but also does not detract.

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

Purpose3/5

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

The description 'Stages changes in a Git repository' clearly states the action (stages) and resource (Git repository), making the purpose understandable. However, it lacks specificity about what 'stages' entails (e.g., adding files to the staging area) and does not differentiate from sibling tools like 'pushRepo' or 'gitPullRepo', which are related but distinct Git operations.

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 does not mention prerequisites (e.g., after making changes to files), exclusions (e.g., not for committing or pushing), or refer to sibling tools like 'pushRepo' for subsequent steps, leaving usage context implied but not explicit.

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_ABAP'

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