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lawp09

bitbucket-mcp

by lawp09

List Pipeline Variables

list_pipeline_variables
Read-onlyIdempotent

Retrieve pipeline variables for a Bitbucket repository, with secured variable values hidden as null. Supports pagination to control output size.

Instructions

List repository-level pipeline variables.

Secured variables never expose their value (returned as null).

Args: repo_slug: Repository slug workspace: Workspace name (optional, defaults to configured workspace) page_size: Items per page (default: 20) max_pages: Maximum pages to fetch (default: 1, max recommended: 10)

Returns: Paginated list of pipeline variables

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
max_pagesNo
page_sizeNo
repo_slugYes
workspaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Beyond the annotations (readOnly, idempotent, non-destructive), the description discloses that secured variables return null and explains pagination behavior with default and max values, adding valuable context.

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 concise, with a short introductory sentence followed by a bulleted list of arguments. No redundant or unnecessary information.

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

Completeness5/5

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

Given the presence of an output schema explaining return values, the description adequately covers behavior (secured variables, pagination). Completeness is high for a list tool.

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

Parameters4/5

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

Despite 0% schema description coverage, the description provides meaningful explanations for all four parameters, including defaults and optionality, which compensates for the lack of schema descriptions.

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 the action ('List'), the resource ('pipeline variables'), and the scope ('repository-level'), making the purpose unambiguous and distinct from siblings like get_pipeline_variable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives (e.g., get_pipeline_variable), but the straightforward nature of listing vs. fetching a single variable provides implicit 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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