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JumenEngels

sap_analytics_cloud_mcp

by JumenEngels

sac_import_upload_data

Upload data rows to a SAP Analytics Cloud import job, with column mapping and default values. Returns counts of upserted and failed rows.

Instructions

Upload data to an import job. Returns upserted/failed row counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
DataYesData rows to import
jobIdYesJob ID
MappingNoColumn mapping: { source: target }
DeletedDataNoRows to delete (currency/unit jobs only)
DefaultValuesNoDefault values for missing columns
allowalterationNoMust be true to execute
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only mentions uploading and return counts, but does not disclose side effects (e.g., whether data is merged or overwritten), required permissions, or rate limits.

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?

Single concise sentence with no waste. Could benefit from additional context without becoming verbose.

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?

Missing crucial context: need to create a job first (jobId), allowalteration must be true to execute, DeletedData only for currency/unit jobs, and no output schema. Given 6 parameters including nested objects, more detail is needed.

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 coverage is 100%, so parameters are fully documented. The description adds no extra meaning beyond the schema. Baseline 3 is appropriate.

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 'upload', the resource 'import job', and the output ('returns upserted/failed row counts'). It distinguishes itself from sibling tools like sac_import_create_job or sac_import_run_job by specifying data upload.

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 guidance on when to use this tool versus alternatives (e.g., sac_import_oneclick or sac_import_validate_job). No prerequisites or context are provided.

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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