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mvadly

Bamboo MCP Server

by mvadly

create_bamboo_specs_java

Generate Bamboo Specs Java configuration for CI/CD pipelines. Creates a PlanSpec.java file defining project, plan, repository, build commands, and deployment environments.

Instructions

Generate Bamboo Specs Java configuration for a CI/CD pipeline.

Creates a PlanSpec.java file for Bamboo Specs that defines the complete pipeline.

Args: project_key: The Bamboo project key (e.g., 'PROJ') plan_name: Display name for the plan plan_key: Short key for the plan (e.g., 'BUILD') repository_url: Git repository URL branch: Default branch to build (default: 'master') build_commands: List of build commands to execute docker_image: Optional Docker image for build agent deployment_environments: Optional list of deployment environment names

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
branchNomaster
plan_keyYes
plan_nameYes
project_keyYes
docker_imageNo
build_commandsNo
repository_urlYes
deployment_environmentsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description bears full responsibility for behavioral disclosure. While it states it creates a file, it does not describe side effects (e.g., overwriting existing files, required permissions, or output file location). This leaves significant gaps for an agent.

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 well-structured with a concise intro followed by a clear parameter list. It is slightly lengthy but each line adds necessary detail, and there is no filler.

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 the complexity (8 parameters, 4 required) and presence of an output schema, the description covers inputs well but lacks usage guidelines and behavioral transparency. It does not address error conditions or outcomes beyond creation.

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

Parameters5/5

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

Although the input schema has 0% description coverage, the 'Args' block in the description comprehensively explains each parameter, including defaults and examples. It adds substantial meaning beyond the schema's basic type info.

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 clearly states it 'Generate Bamboo Specs Java configuration for a CI/CD pipeline' and 'Creates a PlanSpec.java file'. The verb-resource combination is specific and distinguishes it from sibling tools like 'create_bamboo_specs_yaml'.

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 does not provide guidance on when to use this tool versus alternatives (e.g., when to choose Java specs over YAML). It lacks explicit context about prerequisites or scenarios where this tool is appropriate.

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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