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sdebruyn

fabric-dw-mcp-cli

by sdebruyn

list_restore_points

Retrieves all available restore points for a specified warehouse, enabling point-in-time recovery operations.

Instructions

Return all restore points for a warehouse.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYes
warehouseYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

Without annotations, the description carries full burden for behavioral disclosure. It only states that it returns all restore points, omitting details like pagination, sorting, or any side effects. This is insufficient for a list operation.

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?

The description is very concise with a single sentence. It is front-loaded and easy to parse, though it could be slightly more informative without losing conciseness.

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 tool has an output schema, so return values are defined. However, given the number of sibling tools and the lack of usage guidance, the description is minimally complete. It does not address common concerns like result count or required permissions.

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%, so the description must compensate. It adds minimal meaning by linking the tool to a warehouse, but does not explain the workspace parameter or the relationship between parameters. The description is too vague to fully clarify parameter semantics.

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 (return all), the resource (restore points), and the scope (for a warehouse). It effectively distinguishes from sibling tools like get_restore_point, create_restore_point, etc.

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 is provided on when to use this tool versus alternatives (e.g., get_restore_point for a single point). There is no mention of prerequisites or context for usage.

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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