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JumenEngels

sap_analytics_cloud_mcp

by JumenEngels

sac_stories_list

Retrieve all stories from SAP Analytics Cloud with story ID, name, creator, and last modifier. Does not support filtering or owner field; returns all stories on the tenant.

Instructions

List stories via GET /api/v1/stories. WARNING: This endpoint does NOT support OData filtering. All query parameters ($filter, $top, $orderby, etc.) are silently ignored by the SAC API — it always returns every story on the tenant (3000+). The response does NOT include an 'owner' field. Response fields per story: storyId, name, createdBy, changedBy (and optionally model metadata). TO FILTER STORIES BY USER OR TYPE use sac_filerepository_list instead, which supports real OData $filter on createdBy, modifiedBy, resourceType, createdTime, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeModelsNoInclude model metadata for each story
Behavior5/5

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

Despite no annotations, the description discloses critical behavior: OData filtering is not supported, always returns all stories (3000+), no 'owner' field in response. Also lists response fields. This is comprehensive behavioral transparency.

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?

Very concise: three sentences with clear front-loading of purpose and warning. Every sentence adds value without redundancy.

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?

Given the tool's simplicity (one optional param, no output schema), the description fully covers behavior, response structure, and usage context including an alternative for filtering. No gaps remain.

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?

With 100% schema coverage, the parameter 'includeModels' is already described in the schema. The description adds minimal extra meaning beyond repeating that model metadata is optionally included. It does not provide new semantics.

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 purpose: 'List stories via GET /api/v1/stories.' It specifies the HTTP method and endpoint, and distinguishes itself from siblings by noting it returns all stories without filtering.

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?

Explicit guidance: warns against using OData filters as they are silently ignored, and directs to sac_filerepository_list for filtered queries. This clearly tells the agent when to use this tool vs 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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