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og-mcp

Microsoft Fabric MCP Server

by og-mcp

fabric_get_pipeline_definition

Read-only

Retrieve a decoded data pipeline's definition, including activities and parameters, by providing its pipeline ID.

Instructions

Fetch a pipeline's definition (activities/parameters) decoded (long-running).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipelineIdYesData pipeline ID
workspaceNoWorkspace ID (defaults to FABRIC_DEFAULT_WORKSPACE)
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the tool is safely interactive. The description adds 'decoded (long-running)', which provides context about latency and output format, but does not elaborate on specific behaviors like whether it returns immediately with a job ID.

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?

Single sentence that is front-loaded with the core action and key qualifiers (decoded, long-running). No unnecessary words.

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?

Given no output schema, the description should hint at the return value. It mentions 'definition (activities/parameters) decoded' but does not specify the format or whether it's a full object. Adequate but could be more explicit.

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

Parameters3/5

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

Schema coverage is 100% with clear descriptions for both parameters. The description adds no extra meaning beyond what the schema already provides, so baseline score of 3 applies.

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 uses a specific verb ('Fetch') and resource ('pipeline's definition') and clarifies 'decoded (long-running)', which distinguishes it from sibling tools like fabric_get_pipeline (which likely returns metadata) and fabric_update_pipeline_definition (write tool).

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?

The description implies usage for fetching decoded definitions but does not explicitly state when to use this tool versus alternatives like fabric_get_pipeline or fabric_get_item_definition. No exclusions or prerequisites are mentioned.

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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