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dnic-dev

bw-modeling-mcp

by dnic-dev

bw_get_aggregation_level

Retrieve the full definition of an SAP BW Aggregation Level, including characteristics, key figures, and associated planning properties.

Instructions

Read an Aggregation Level (TLOGO ALVL) definition — the planning-enabled view on top of an InfoProvider (aDSO or CompositeProvider) used for Integrated Planning / embedded BPC. Returns name, description, status, InfoArea, package, the underlying InfoProvider, and the full element list split into characteristics and key figures. Characteristics include type, length, conversion routine, base InfoObject, compounding, and dimension group. Key figures additionally include aggregation behavior, semantics (AMO/QUA/NUM), and the unit/currency reference (unit characteristic, fixed unit, or fixed currency).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
aggregation_level_nameYesTechnical name of the Aggregation Level (e.g. "OBJECT_NAME").
Behavior4/5

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

With no annotations, the description carries full burden. It transparently details the returned fields, including nested structures, without contradictory claims.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured with front-loaded purpose and detailed breakdown of return fields. Slightly lengthy but necessary for completeness.

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

Completeness5/5

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

For a read tool with one parameter and no output schema, the description fully compensates by listing all returned elements, making it self-sufficient.

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 coverage is 100% for the single parameter. The description adds an example but no extra semantics beyond what the schema provides.

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 it reads an Aggregation Level definition and explains its role. It distinguishes from sibling getters by focusing on this specific object type.

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

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context for retrieving ALVL definitions but provides no explicit guidance on when to use alternatives or when not to use it.

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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