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Korfu
by Korfu

create_pull_request

Create a new pull request in Bitbucket to merge code changes from a source branch to a destination branch, facilitating code review and collaboration.

Instructions

Create a new pull request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repository_nameYesName of the repository (repo slug)
titleYesThe title of the pull request.
source_branchYesThe source branch of the pull request.
destination_branchNoThe destination branch of the pull request.
descriptionNoThe description of the pull request.
Behavior2/5

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

With no annotations provided, the description carries full burden but only states the basic action without behavioral details. It doesn't mention permissions required, whether it's idempotent, error conditions, or what happens on success (e.g., returns a PR object). This is inadequate for a mutation tool with zero annotation coverage.

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 a single, direct sentence with zero waste—it states exactly what the tool does without fluff. It's appropriately sized and front-loaded, making it easy to parse quickly.

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?

For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't cover behavioral aspects like permissions, error handling, or return values, leaving critical gaps for an AI agent to use it correctly in context with siblings.

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 fully documents all 5 parameters. The description adds no additional meaning beyond what's in the schema, such as explaining relationships between parameters (e.g., source_branch must exist). Baseline 3 is appropriate when 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 ('Create') and resource ('pull request'), making the purpose immediately understandable. It doesn't distinguish from siblings like 'update_pull_request' or 'list_pull_requests', but it's unambiguous about the core function.

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 on when to use this tool versus alternatives like 'update_pull_request' or 'list_pull_requests'. The description lacks context about prerequisites, such as needing an existing repository or branches, or when creation might fail.

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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