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christianclaudio

mcp-server-sigma

Datasets Sync All Tables In Schema

datasets_sync_all_tables_in_schema

Sync all tables in a warehouse schema to make them visible in Sigma.

Instructions

Sync all tables in a warehouse schema so they become visible in Sigma.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
schemaYes
databaseYes
connection_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv2.0.4

TDQS

B3/5.0
Behavior3/5

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

Annotations already declare this is a non-destructive write (readOnlyHint=false, destructiveHint=false) against an open-world external system, so the safety profile is covered. The description adds real value by stating the observable effect (tables become visible in Sigma), but says nothing about sync duration, whether it is synchronous, or how it interacts with already-synced tables.

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?

A single sentence with the verb and scope front-loaded and no filler. It is efficient, though its brevity comes at the cost of the missing context noted elsewhere.

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?

The output schema exists, so return values need not be explained, and annotations cover the safety profile. However, for a three-required-parameter mutation with zero schema documentation, the description should at least identify the connection/database inputs and any prerequisite state; those gaps keep it at minimum viable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for three required parameters. The phrase 'warehouse schema' hints at the schema parameter, but connection_id and database are left entirely undefined in both schema and description, so the description fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (sync) and a precise resource scope (all tables in a warehouse schema), and the outcome ('become visible in Sigma') clarifies intent. It is distinguishable from datasets_sync_connection and datasets_bulk_sync_tenant_connections by scope, though it never names them.

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 versus the sibling sync tools (datasets_sync_connection, datasets_bulk_sync_tenant_connections) or versus datasets_list_columns_for_table. No prerequisites are stated, such as whether the connection must be tested or the schema pre-existing.

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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