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ATERCATES

Bitbucket MCP Server

by ATERCATES

updateProjectBranchingModelSettings

Update the branching model settings for a Bitbucket project by configuring development and production branches and branch types to enforce custom workflows.

Instructions

Update the branching model config for a project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceYesBitbucket workspace name
project_keyYesProject key
developmentNoDevelopment branch settings
productionNoProduction branch settings
branch_typesNoBranch types configuration
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It only states 'Update', implying mutation, but fails to mention permission needs, whether the update is incremental or replaces all settings, side effects on existing configurations, or any destructive potential.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is too brief given the tool's complexity (5 parameters, nested objects). It lacks structure and fails to convey crucial information, making it under-specified rather than appropriately concise.

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 tool's complexity, absence of output schema, and no annotations, the description is incomplete. It does not explain update behavior, validation rules, or how settings are applied, leaving significant gaps for an AI agent to act correctly.

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 covers 100% of parameters with descriptions, so the schema already provides meaning. The description adds no extra context beyond what the schema specifies, meeting the baseline for parameter semantics.

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 'Update the branching model config for a project', specifying a verb and resource. However, it does not distinguish this tool from the sibling 'updateRepositoryBranchingModelSettings', which updates repository-level branching model settings, leading to potential confusion.

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 offers no guidance on when to use this tool versus alternatives, such as 'getProjectBranchingModelSettings' for viewing or 'updateRepositoryBranchingModelSettings' for repository-level updates. No context on prerequisites or exclusions is provided.

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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