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og-mcp

Microsoft Fabric MCP Server

by og-mcp

fabric_list_job_schedules

Read-only

List schedules configured for an item's job type in a workspace. Use to review and manage job scheduling for notebooks, pipelines, spark jobs, and lakehouses.

Instructions

List schedules configured for an item's job type.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemIdYesItem ID (notebook, pipeline, spark job definition, lakehouse, …)
jobTypeYesJob type, e.g. "RunNotebook", "Pipeline", "sparkjob", "TableMaintenance"
workspaceNoWorkspace ID (defaults to FABRIC_DEFAULT_WORKSPACE)
Behavior3/5

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

Annotations already provide readOnlyHint=true, so the tool's read-only nature is clear. The description adds no further behavioral context (e.g., pagination, rate limits), which is acceptable for a simple list operation but could be improved.

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?

Single sentence, no redundancy. It is concise and to the point, but could benefit from a slightly more structured format to improve scannability.

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?

For a list tool with no output schema and minimal parameters, the description is adequate but incomplete. It does not describe the return format or provide examples, which would help an agent understand the tool's output.

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 description coverage is 100%, so parameters are well-documented in the schema. The description does not add any additional parameter meaning beyond what is already provided.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the action 'List' and the resource 'schedules configured for an item's job type', which is specific and distinguishable from many sibling tools like fabric_list_job_instances. However, it could be more explicit about what constitutes a 'schedule'.

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 on when to use this tool versus alternatives like fabric_create_job_schedule or other list tools. The description lacks context for appropriate usage scenarios.

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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