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og-mcp

Microsoft Fabric MCP Server

by og-mcp

fabric_cancel_job

Cancel a running job instance by specifying the item and job instance IDs. Workspace ID is optional.

Instructions

Cancel a running job instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemIdYesItem ID (notebook, pipeline, spark job definition, lakehouse, …)
jobInstanceIdYesJob instance ID
workspaceNoWorkspace ID (defaults to FABRIC_DEFAULT_WORKSPACE)
Behavior2/5

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

Annotations are empty, so the description must disclose behavior. It only says 'Cancel a running job instance', which implies termination but lacks details on side effects, reversibility, or what happens to running tasks. Minimal transparency.

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 a single, front-loaded sentence with no extraneous words. It is as concise as possible while stating the core purpose.

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

Completeness2/5

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

Given no output schema and empty annotations, the description is incomplete. It does not explain the return value, error states (e.g., job not running), or idempotency. For a potentially destructive action, more context is needed.

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 each parameter described. The description adds no additional meaning beyond the schema; it does not elaborate on how parameters affect cancellation or provide examples.

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 'Cancel' and resource 'running job instance', clearly distinguishing it from sibling tools like fabric_run_job or fabric_get_job_instance. No ambiguity.

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 provides no guidance on when to use this tool versus alternatives, no prerequisites, no conditions (e.g., job must be running, cannot cancel completed jobs). It simply states the action without context.

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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