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dnic-dev

bw-modeling-mcp

by dnic-dev

bw_list_remote_entities

Discover and list remote HANA entities from a source system to identify valid DataSource bases before creating a DataSource.

Instructions

List the remote entities (HANA views / virtual tables) a source system exposes as a DataSource basis — read-only discovery (the value help Eclipse shows on the DataSource proposal page). Each entity's technical_name is exactly what binds into bw_create_datasource as the HANA entity. Use this to find a valid hana_entity before creating a DataSource.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
result_sizeNoMaximum number of rows to return (default 200). Check result_complete to see if truncated.
source_systemYesLogical source system name (e.g. "LSYS_NAME"). A HANA/SDA/SDI source system.
search_patternNoWildcard pattern filtering on technicalName (default "*" for all).
Behavior4/5

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

Description clearly labels the tool as read-only discovery, which is transparent. No annotations are provided, so the description carries the burden and does well. However, it could mention that it's a list operation without side effects, but the context is sufficient.

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?

Description is concise with three sentences. It front-loads the purpose, then provides usage guidance. No unnecessary words; every sentence adds value.

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

Completeness4/5

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

No output schema is present, but the description gives enough context about the return (list of entities with technical_name). For a listing tool, it's adequately complete, though a mention of return structure would be slightly better.

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?

Schema has 100% coverage with descriptions. The tool description adds value by explaining the result_size parameter's role in truncation and the search_pattern's filtering on technicalName. It also emphasizes that technical_name is key for the binding tool, enhancing schema meaning.

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 lists remote entities (HANA views/virtual tables) exposed by a source system as DataSource basis. It specifies the read-only discovery nature and references the Eclipse value help, making the purpose unambiguous.

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?

The description explicitly states when to use this tool: to find a valid hana_entity before creating a DataSource. It also links the technical_name to the bw_create_datasource tool, providing clear usage guidance.

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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