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pmankineni

mcp-sac-tools

by pmankineni

sac_post_import_data

Post rows of data to an import job's staging area; data is applied only when the job runs.

Instructions

Post rows of data to an import job's staging area. Data does not touch the model until the job is run. Rows should be an array of objects with column names as keys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rowsYesArray of row objects to import
jobIdYesThe job ID from sac_create_import_job
modelIdYesThe model/provider ID
dataTypeNoType of data (default: factData)
dimensionNameNoRequired for masterData imports
Behavior3/5

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

With no annotations, description carries burden. It explains data is staged and not immediately applied, but lacks details on idempotency, limits, or side effects beyond schema.

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?

Two sentences with no filler. Purpose and key behavioral constraint are front-loaded.

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

Completeness3/5

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

No output schema, so description should cover return value. It doesn't mention response format, error cases, or size limits, leaving gaps for a staging tool.

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 3. Description adds value by explaining rows structure as array of objects with column names as keys, going beyond generic schema description.

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 verb 'Post rows of data' and resource 'import job's staging area' are specific. It distinguishes from sibling tools like sac_run_import by stating data does not touch model until job is run.

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

Usage Guidelines3/5

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

Description implies usage when staging rows for import, but does not explicitly state when not to use or provide alternatives like sac_validate_import or sac_run_import.

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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