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sdebruyn

fabric-dw-mcp-cli

by sdebruyn

list_request_history

Retrieve completed SQL requests from queryinsights.exec_requests_history with optional filters for time range and result count.

Instructions

Return completed SQL requests from queryinsights.exec_requests_history.

Args: workspace: Workspace name or GUID. item: Warehouse or SQL Analytics Endpoint name or GUID. limit: Maximum rows to return (1-10000, default 100). since: Optional ISO-8601 lower bound on submit_time. until: Optional ISO-8601 upper bound on submit_time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYes
itemYes
limitNo
sinceNo
untilNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description should disclose behavioral traits like read-only status, authentication requirements, or result order. It only states the source and parameters, missing important context.

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?

One concise sentence plus bullet-proof arg definitions. No fluff, front-loaded with purpose.

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

Completeness4/5

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

Given the output schema exists, the description adequately covers parameters and source. Missing minor details like default sorting order, but overall sufficient for a list tool.

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

Parameters5/5

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

The description includes a detailed args block explaining each parameter's meaning, format (ISO-8601, name/GUID), and constraints (1-10000). This fully compensates for the 0% schema coverage.

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 it returns completed SQL requests from a specific view (queryinsights.exec_requests_history). The verb 'return' and specific resource distinguish it from siblings like list_running_queries.

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?

The description does not provide guidance on when to use this tool versus alternatives like list_running_queries or list_frequent_queries. It assumes the agent infers context from the name.

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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