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nulab

Backlog MCP Server

add_issue

Create new issues in Backlog projects by providing summary, issue type, priority, assignee, and other optional fields. Quickly add work items to keep project tracking accurate.

Instructions

Creates a new issue in the specified project.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dueDateNoScheduled due date (yyyy-MM-dd)
summaryYesSummary of the issue
projectIdYesProject ID
startDateNoScheduled start date (yyyy-MM-dd)
versionIdNoVersion IDs
assigneeIdNoUser ID of the assignee
categoryIdNoCategory IDs
priorityIdYesPriority ID
actualHoursNoActual work hours
descriptionNoCreates a new issue in the specified project.
issueTypeIdYesIssue type ID
milestoneIdNoMilestone IDs
attachmentIdNoAttachment IDs
customFieldsNoList of custom fields to set on the issue
parentIssueIdNoParent issue ID
estimatedHoursNoEstimated work hours
notifiedUserIdNoUser IDs to notify
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure, but it only says 'creates a new issue.' It does not mention required fields, permissions, side effects, idempotency, or return format. For a mutation tool with zero annotation coverage, this is a significant gap.

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, front-loaded sentence with no filler words. It efficiently states the core action and object, earning its place without unnecessary complexity.

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?

Despite the rich schema, the tool has 17 parameters, no output schema, and no annotations. The description offers no context about typical usage, required fields, or expected results, leaving significant gaps for an agent to understand the tool's full behavior and invocation context.

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 descriptions cover 100% of the 17 parameters, so the baseline is 3. The description itself adds no parameter-specific meaning, but since the schema already provides detailed descriptions for each field, the combined information is adequate.

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 uses the specific verb 'creates' and identifies the resource 'issue' with 'in the specified project', clearly distinguishing this from sibling tools like add_issue_comment and update_issue. It is unambiguous and directly states the tool's 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. It does not mention that update_issue should be used for existing issues, nor does it state any prerequisites or exclusions. The description only states what it does, not when to choose it.

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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