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bw-modeling-mcp

by dnic-dev

bw_system_profile

Check an SAP BW system's release and REST API readiness to know which modeling tools are usable before starting work.

Instructions

Find out what the connected BW system is and which of this server's tools will work on it. Distinguishes SAP BW/4HANA from classic SAP BW (7.5) via the system's own b4hanamode flag, lists which REST endpoint groups the system publishes, and verifies three preconditions: Accept-header handling (a broken one makes almost every call fail with HTTP 406 on BW 7.5), access to the ADT DataPreview service, and whether the reporting resource of the modeling API is implemented — the REST route to query data, which a classic release publishes without implementing; BICS itself is present there, and InA clients reach it by their own route. Call it before planning work on a system whose release you do not already know: the answer says which tool groups are available and which route to take where they are not — on classic BW, for instance, transformations, DTPs and the classic providers have no REST resource and are read with bw_read_metadata_tables instead. One call beats inferring the release from failed ones.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.4.0

TDQS

A4.8/5.0
Behavior5/5

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 details three specific preconditions it verifies (Accept-header handling, ADT DataPreview access, reporting resource implementation), and explains the consequence of a broken Accept-header (HTTP 406 on BW 7.5). It also notes that the REST route may be published but not implemented on classic BW. This is exemplary transparency for a system-check tool.

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 a single dense paragraph but each sentence adds value: system type detection, endpoint groups, three preconditions, and routing advice. It could be slightly more structured (e.g., bullets), but it is not verbose or redundant. Every sentence earns its place, though the wall-of-text format is slightly suboptimal.

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 zero-parameter tool with no output schema, the description is remarkably complete. It covers what it does, when to use it, what it checks, and what actions to take based on the results. An agent has everything it needs to decide when and how to invoke this tool, and what to do with the information it returns.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so the baseline is 4. There is nothing to document, and the description appropriately focuses on behavior rather than inputs. No schema details needed.

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 states a clear, specific purpose: identify the BW system type and which tools are compatible. It explicitly distinguishes SAP BW/4HANA from classic BW via the b4hanamode flag, and mentions checking REST endpoint groups and preconditions. This clearly separates it from sibling tools like bw_query_data or bw_read_metadata_tables, which are mentioned as alternatives.

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

Usage Guidelines5/5

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

It gives explicit usage guidance: call this before planning work on a system whose release you don't know. It also names a specific alternative (bw_read_metadata_tables) for classic BW when certain REST resources are missing, and explains why—one call beats inferring from failures. This is precise and actionable.

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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