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Nidhideep

SAP Clean Core MCP Server

by Nidhideep

cc_search_by_component

Search ABAP objects by SAP software or application component to audit Clean Core compliance and discover released APIs.

Instructions

Find all ABAP objects belonging to a SAP software component or application component. Use this to audit an entire functional area (e.g. all MM-IM objects) for Clean Core compliance, or to discover which Released APIs exist in a given component.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
software_componentNoSAP software component (e.g. 'S4CORE', 'SAPSCORE', 'EA-APPL'). Case-insensitive. Omit to search across all components (use with application_component to narrow down).
application_componentNoSAP application component prefix (e.g. 'FI', 'MM', 'SD', 'FI-AA', 'MM-IM'). Prefix match — 'MM' returns MM, MM-IM, MM-BD, etc.
deployment_targetNoDeployment environment: PCE, PUBLIC, or BTP.PCE
limitNoMaximum results to return (1–500). Default 50.
level_filterNoOptional filter: only return objects at this Clean Core level.
response_formatNo'summary' returns name, type, level. 'full' adds all fields.summary
Behavior3/5

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

With no annotations, the description carries full burden. It states the tool searches/finds objects, implying read-only, but does not disclose pagination, rate limits, authentication requirements, or output format beyond what is implied by response_format parameter.

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?

Two concise sentences that front-load the purpose. Every word is useful, with no redundancy or fluff.

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

Completeness3/5

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

Given 6 parameters and no output schema, the description explains the main purpose but does not clarify return behavior (e.g., what fields are returned in 'summary' vs 'full') or how the level_filter and other parameters affect results. The examples help but are insufficient for complete context.

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 schema covers 100% of parameters with descriptions. The tool description adds no additional parameter details; it only references components in a general way. Baseline 3 is appropriate.

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 finds ABAP objects by software or application component, and provides concrete examples like 'all MM-IM objects' and explicit use cases for Clean Core compliance and API discovery.

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 gives explicit use scenarios (auditing functional areas, discovering APIs) but does not mention when to avoid this tool or provide alternatives like cc_search_objects for general searches.

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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