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JumenEngels

sap_analytics_cloud_mcp

by JumenEngels

smart_query

Run SQL-like queries against SAP Analytics Cloud. Automatically selects OData or Widget Query based on query type.

Instructions

Execute a SQL-like query against SAC. Auto-selects OData vs Widget Query based on query type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSQL-like query, e.g. 'SELECT * FROM Story123'
model_idNoModel ID if not in FROM
space_idNoSpace ID
Behavior2/5

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

The description merely states 'Auto-selects OData vs Widget Query' but does not disclose behavioral traits such as read-only nature, error handling, response format, or side effects. No annotations are provided to compensate.

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

Conciseness3/5

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

The description is short (two sentences) and front-loaded, but it sacrifices comprehensiveness. While every sentence adds value, it lacks necessary usage and behavioral details.

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

Completeness2/5

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

Given no output schema, no annotations, and moderate complexity, the description is insufficient. It does not cover return values, error cases, or the distinction between OData and Widget queries.

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 description coverage is 100%, so the schema already documents all parameters. The description adds no additional meaning beyond the schema, resulting in a baseline score.

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 verb 'Execute' and resource 'SQL-like query against SAC'. It is specific and distinguishes from sibling tools like sac_export_get_data by describing a generic query interface with auto-selection.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. The description does not mention when not to use it, prerequisites, or compare to sibling tools like sac_export_get_data or sac_widget_get_data.

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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