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deployment_pipeline_deploy

Deploy pipeline items from a source stage to the next stage, optionally targeting specific items and adding notes for traceability.

Instructions

Deploy items from one stage to another in a deployment pipeline (long-running)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoDeployment note
itemsNoSpecific items to deploy (deploys all if omitted)
pipelineIdYesThe deployment pipeline ID
workspaceIdNoThe workspace ID (for workspace guard validation)
sourceStageIdYesThe source stage ID to deploy from
targetStageIdNoThe target stage ID (defaults to the next stage)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv2.8.0

TDQS

A3.5/5.0
Behavior3/5

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

The description adds the useful behavioral note that the operation is 'long-running', which is not captured by the annotations. However, it does not disclose what the call returns, whether it triggers an asynchronous operation, or what side effects deployment has on target stage items, leaving the agent to infer these aspects.

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?

A single sentence with no filler, and the most important behavioral qualifier ('long-running') is included parenthetically. Every part of the description earns its place.

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 an asynchronous mutation-style tool with no output schema, the description is minimal. It mentions long-running behavior but does not reference how to monitor the operation or what the return value represents, which is important context given the sibling tool deployment_pipeline_get_operation exists.

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 the schema already documents all parameters and the description is not required to repeat them. The phrase 'from one stage to another' does add conceptual linkage between sourceStageId and targetStageId, but it does not add deeper meaning beyond the schema.

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?

States a specific action ('Deploy'), the resource ('deployment pipeline'), and the operation's scope ('items from one stage to another'). This clearly distinguishes it from reading, creating, or deleting deployment pipeline resources, including the closely named deployment_pipeline_get_operation and deployment_pipeline_list_stages.

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 is provided about when to use this tool versus alternatives, such as checking operation status with deployment_pipeline_get_operation or listing pipeline stages first. The context is implied by the name, but there are no explicit when-to-use or when-not-to-use instructions.

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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