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yjiace

AlibabaCloud DevOps MCP Server

by yjiace

execute_pipeline_job_run

Manually run a specific job in an Alibaba Cloud DevOps pipeline to control deployment workflows and task execution.

Instructions

[Pipeline Management] Manually run a pipeline task. Start a specific job in a pipeline run instance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organizationIdYesOrganization ID, can be found in the basic information page of the organization admin console
pipelineIdYesPipeline ID
pipelineRunIdYesPipeline run instance ID
jobIdYesJob ID for the pipeline run task
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It implies a write operation ('run', 'start') but doesn't specify permissions, side effects, or response format. This is inadequate for a mutation tool, as it lacks details on execution triggers or error handling.

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 brief and front-loaded with the core action, using two efficient sentences. However, the first sentence includes a bracketed category '[Pipeline Management]' that adds minimal value, slightly reducing conciseness.

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 the complexity of a mutation tool with no annotations and no output schema, the description is incomplete. It fails to explain what happens after execution, potential errors, or dependencies, leaving significant gaps for agent understanding.

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?

The input schema has 100% description coverage, fully documenting all four required parameters. The description adds no extra meaning beyond the schema, such as explaining relationships between parameters. Baseline 3 is appropriate since the schema does the heavy lifting.

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?

The description clearly states the action ('Manually run', 'Start') and resource ('pipeline task', 'specific job in a pipeline run instance'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'execute_job_action' or 'create_pipeline_run', which could be related operations, so it doesn't reach a perfect score.

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. It doesn't mention prerequisites, such as needing an existing pipeline run, or contrast with tools like 'execute_job_action' or 'create_pipeline_run', leaving the agent without context for selection.

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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