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sdebruyn

fabric-dw-mcp-cli

by sdebruyn

roll_snapshot_timestamp

Roll a snapshot database timestamp forward to a specified datetime or reset to current time. Useful for managing temporal data consistency in Fabric warehouses.

Instructions

Roll a snapshot's timestamp forward (or reset to current).

Args: workspace: Workspace name or GUID. warehouse: Parent warehouse name or GUID (used for the SQL connection). snapshot_name: The snapshot database name to roll. new_dt: Optional ISO-8601 datetime string; defaults to CURRENT_TIMESTAMP.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYes
warehouseYes
snapshot_nameYes
new_dtNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Without annotations, the description carries the full burden of behavioral disclosure. It describes the main action but does not mention potential side effects, permissions required, or whether the operation is reversible. The term 'roll' might imply mutation, but there is no explicit statement about safety or destructiveness.

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?

The description is extremely concise: one opening sentence defining the tool's purpose, followed by a bullet-style Args list. Every sentence serves a purpose, with no extraneous information. The structure is clear and front-loaded.

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 has an output schema and the description covers the essential behavior, parameters, and defaults, it provides sufficient context for an AI agent to understand and invoke the tool correctly. There are no obvious gaps for a typical use case.

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?

The input schema has 0% description coverage, so the description must compensate. The Args list explains each parameter: workspace, warehouse, snapshot_name, and new_dt with type and default. This adds meaningful context beyond the schema titles and types, though it does not provide format examples for new_dt.

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 action ('roll a snapshot's timestamp forward') and the resource ('snapshot's timestamp'), distinguishing it from sibling tools like create_snapshot, delete_snapshot, etc. The verb 'roll' is specific and uncommon, making the tool's purpose unique.

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?

The description implies when to use (to advance or reset a snapshot timestamp) and provides context via the optional new_dt parameter with default to CURRENT_TIMESTAMP. However, it does not explicitly state when not to use or mention alternatives, though no direct alternatives exist among siblings.

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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