Skip to main content
Glama
DimiDR

SAP Datasphere MCP Server

by DimiDR

get_task_status

Monitor ETL and data integration tasks, view execution status, last run times, and troubleshoot failed jobs across SAP Datasphere spaces.

Instructions

Get status and execution details of data integration and ETL tasks.

Use this tool when:

  • User asks "What tasks are running?"

  • Monitoring data pipeline execution

  • Checking when data was last refreshed

  • Troubleshooting failed tasks

What you'll get:

  • Task IDs and names

  • Execution status (COMPLETED, RUNNING, FAILED, SCHEDULED)

  • Last run timestamp and next scheduled run

  • Execution duration and records processed

  • Associated space information

Filtering options:

  • No parameters: Show all tasks

  • task_id: Get specific task details

  • space_id: Show all tasks for a space

Example queries:

  • "What tasks are currently running?"

  • "Show me all tasks in SALES_ANALYTICS"

  • "When did DAILY_SALES_ETL last run?"

  • "Check status of task FINANCE_RECONCILIATION"

Task types:

  • ETL/data loading tasks

  • Transformation workflows

  • Scheduled data refreshes

  • Data replication jobs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idNoOptional: Specific task ID to check (e.g., 'DAILY_SALES_ETL'). Leave empty to see all tasks.
space_idNoOptional: Filter tasks by space (e.g., 'SALES_ANALYTICS'). Shows only tasks associated with that space.
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses return contents (task IDs, status, timestamps, duration, records), filtering options, and task types. It doesn't explicitly state it's read-only, but the verb 'get' and context make that clear.

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 clear sections and bullets, but a bit verbose. Every section contributes useful information, though the 'Task types' list is somewhat redundant with the overall purpose.

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 no output schema and only two optional parameters, the description is remarkably complete. It covers when to use, what to expect, filtering behavior, example queries, and return fields, leaving little ambiguity.

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%, so baseline is 3. The description adds value beyond the schema by explaining the no-parameter behavior, how each filter works, and providing concrete example values for each parameter.

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 tool retrieves status and execution details for data integration/ETL tasks. It distinguishes itself from siblings like get_task_history and get_task_log by focusing on current status and run details, supported by explicit examples.

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?

Provides clear 'Use this tool when' scenarios and example queries. It gives strong contextual guidance but does not explicitly mention alternatives or when not to use it, so it falls short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DimiDR/SAP-Datasphere-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server