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MarioDeFelipe

SAP Datasphere MCP Server

browse_marketplace

Search the marketplace for external data packages to enrich internal datasets with benchmarks, currency rates, and industry-specific data.

Instructions

Browse and search available data packages in the SAP Datasphere marketplace.

Use this tool when:

  • User asks "What data packages are available?"

  • Looking for external reference data (benchmarks, currency rates, etc.)

  • Exploring marketplace offerings

  • Planning to enrich internal data with external sources

What you'll get:

  • Package IDs and names

  • Package descriptions and categories

  • Provider information

  • Package versions and sizes

  • Pricing information (Free or paid)

Categories:

  • Reference Data (industry benchmarks, standards)

  • Financial Data (currency rates, market data)

  • Geospatial Data

  • Industry-specific datasets

Example queries:

  • "What marketplace packages are available?"

  • "Find financial data packages"

  • "Show me industry benchmarks"

  • "Search for currency rate data"

Use cases:

  • Data enrichment planning

  • Finding external reference data

  • Competitive benchmarking

  • Currency conversion support

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoOptional: Filter by category (e.g., 'Reference Data', 'Financial Data'). Leave empty to browse all.
search_termNoOptional: Search keyword for package names or descriptions (e.g., 'currency', 'benchmark'). Case-insensitive.
Behavior4/5

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

With no annotations, the description carries full burden. It discloses what the tool returns (package IDs, names, categories, provider, versions, sizes, pricing) and lists categories and use cases. Missing details on pagination, rate limits, or result format (e.g., list), but adequate for a browse 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?

Well-structured with sections (when to use, what you get, categories, examples, use cases). Concise enough, though slightly verbose. Information is front-loaded with purpose and usage guidelines.

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?

Given no annotations and no output schema, the description provides thorough information about output contents and categories. Missing return type (e.g., list) and error handling, but sufficient for effective use.

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 coverage is 100% as descriptions are provided for both parameters. The description adds context beyond schema: category filter and case-insensitive search, with examples. Provides meaningful guidance for parameter usage.

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 that the tool browses and searches available data packages in the SAP Datasphere marketplace, with specific verb 'browse and search' and resource 'data packages'. It distinguishes from siblings as no other sibling tool covers marketplace browsing.

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?

Explicit when-to-use scenarios are listed (e.g., 'User asks what packages are available'), including example queries and use cases. However, it does not mention when not to use or specific alternatives.

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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