Skip to main content
Glama
dachienit

ABAP-ADT-API MCP-Server

by dachienit

tableContents

Retrieve data from ABAP tables or views by specifying the entity name, with options to filter results, limit rows, and decode content for ABAP development workflows.

Instructions

Retrieves the contents of an ABAP table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ddicEntityNameYesThe name of the DDIC entity (table or view).
rowNumberNoThe maximum number of rows to retrieve.
decodeNoWhether to decode the data.
sqlQueryNoAn optional SQL query to filter the data.
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states 'Retrieves' but doesn't disclose behavioral traits such as read-only nature, potential rate limits, authentication needs, or what happens with large tables. This is inadequate for a tool with parameters and no output schema.

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, efficient sentence with zero waste. It's front-loaded and appropriately sized for its purpose, making it easy to parse quickly.

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 has 4 parameters, no annotations, and no output schema, the description is incomplete. It doesn't explain return values, error conditions, or usage context, leaving significant gaps for an AI agent to understand how to invoke it correctly.

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 description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds no additional meaning beyond implying table retrieval, which the schema covers. Baseline 3 is appropriate as the schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the verb ('Retrieves') and resource ('contents of an ABAP table'), making the purpose unambiguous. However, it doesn't differentiate from potential siblings like 'nodeContents' or 'runQuery', which might also retrieve data, so it doesn't reach the highest score.

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?

No guidance is provided on when to use this tool versus alternatives. With many sibling tools like 'nodeContents' and 'runQuery' that might retrieve data, the description lacks explicit context or exclusions, leaving usage unclear.

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