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nulab

Backlog MCP Server

add_pull_request_comment

Add a comment to any pull request. Provide the comment text and pull request number; optionally notify team members or specify project details.

Instructions

Adds a comment to a pull request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoThe numeric ID of the project (e.g., 12345)
projectKeyNoThe key of the project (e.g., 'PROJECT')
repoIdNoRepository ID
repoNameNoRepository name
numberYesPull request number
contentYesComment content
notifiedUserIdNoUser IDs to notify
organizationNoOptional organization name. Use list_organizations to inspect available organizations.
Behavior2/5

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

With no annotations, the description carries full burden but only states 'Adds a comment'. It does not disclose side effects (e.g., notifications, modification of pull request state), required permissions, or any behavioral traits 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.

Conciseness4/5

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

The description is a single concise sentence with no wasted words. However, it could include more context without becoming verbose, so it is slightly below perfect.

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 (8 parameters) and context of siblings, the description lacks completeness. It does not explain the tool's role in the workflow, return value (no output schema), or how it relates to similar tools like add_issue_comment.

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 has 100% coverage with descriptions for all 8 parameters, so the schema already provides meaning. The description adds no extra parameter information, so baseline 3 is appropriate.

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 verb (adds) and resource (comment to a pull request). It distinguishes from siblings like add_issue_comment and update_pull_request_comment by the name and the specific resource, though it could be more explicit about differentiation.

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 (e.g., update_pull_request_comment, add_issue_comment). There is no mention of prerequisites or contexts where this tool is appropriate or inappropriate.

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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