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RaghavOfficialGit

MCP ABAP Server

query_abap_objects

Query the SAP ABAP repository to retrieve programs, classes, function modules, and other objects using filters for name, type, package, creator, transport, or last update date.

Instructions

Query ABAP programs, classes, function modules, and other objects from SAP system

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
$topNoMaximum number of records to return (for pagination)
$skipNoNumber of records to skip (for pagination)
ObjdescNoObject description (partial match)
ObjnameNoObject name (program name, class name, function module name)
ObjtypeNoObject type (e.g., "CLAS" for classes, "PROG" for programs, "FUNC" for function modules)
PackageNoDevelopment package (e.g., "ZDEV")
CreatebyNoCreated by username (e.g., "HALURI")
TransportNoTransport request number (e.g., "HMFK900264")
LastupdatedNoLast updated date in YYYYMMDD format (e.g., "20260128")

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

C2.9/5.0
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 implies a read-only query but does not mention return shape, pagination behavior, matching semantics, performance limits, or any side effects. This is a minimal disclosure for a tool that queries an external SAP system.

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, front-loaded sentence with no filler or repetition. It efficiently communicates the core purpose without wasting tokens.

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?

For a tool with nine optional parameters, no output schema, no annotations, and a sibling tool, the description is too sparse. It omits key operational context such as how pagination works, what the response looks like, whether filters are combined, and when to prefer get_object_types.

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 fully documents all nine parameters. The tool description itself adds no parameter-level meaning beyond the schema, so the baseline score of 3 applies.

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 states a clear action (Query) and a specific resource (ABAP programs, classes, function modules, and other objects from SAP system). It distinguishes the tool from get_object_types in intent, but it does not explicitly differentiate it or name the sibling, so it stops just short of a 5.

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 about when to use this tool versus get_object_types, when to use filters, or how to handle pagination. The extent of guidance is the sentence itself, which merely restates what the tool does.

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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