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ManiKsi

Bitbucket Server MCP

by ManiKsi

add_inline_comment

Add an inline comment to a specific file and line in a pull request, enabling contextual code review feedback.

Instructions

Add an inline comment to a file in a pull request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNoBitbucket project key
repositoryYesRepository slug
prIdYesPull request ID
textYesComment text
filePathYesPath to the file in the repository
lineYesLine number to comment on
lineTypeNoType of line (default is CONTEXT)
startColumnNoStarting column for code highlight (optional)
endColumnNoEnding column for code highlight (optional)
parentIdNoParent comment ID for replies
Behavior2/5

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

No annotations are provided, so the description must carry full burden. However, it gives no behavioral details such as authentication requirements, rate limits, side effects (e.g., triggers notifications), or whether the comment is immediately visible. The agent has no information beyond the basic action.

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

Conciseness3/5

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

The description is a single sentence of 10 words, very concise. However, given the tool has 10 parameters and no annotations, it is underspecified. The brevity sacrifices completeness, earning a middle score.

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?

With 10 parameters, no output schema, and no annotations, the description is insufficient. It does not explain how optional parameters like 'startColumn'/'endColumn' or 'parentId' work, nor the semantics of 'lineType' enum. An agent would lack critical context to use the tool 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?

Schema description coverage is 100%, so each parameter already has a description. The tool description adds no extra meaning beyond what is in the schema, so baseline 3 is appropriate. It does hint at the purpose of 'filePath' and 'line' but not beyond rubric.

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: 'Add an inline comment to a file in a pull request.' This specifies the verb (add), resource (inline comment), and context (file in a pull request). It distinguishes from sibling tool 'add_comment' which likely adds general comments.

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 'add_comment' or 'suggest_code_change.' The description lacks any when-to-use or when-not-to-use information, leaving the agent to infer from the name only.

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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