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mcpflow

backlog-mcp-server

by mcpflow

backlog_add_issue

Add a new issue to a Backlog project. Specify project ID, summary, issue type, and priority to create the issue.

Instructions

Add an issue using the Backlog Issue API.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dueDateNoDue date of the issue (YYYY-MM-DD format)
summaryYesSummary of the issue
projectIdYesProject id
startDateNoStart date of the issue (YYYY-MM-DD format)
versionIdNoVersion id
assigneeIdNoAssignee id
categoryIdNoCategory id
priorityIdYesPriority id
actualHoursNoActual hours for the issue
descriptionNoDescription of the issue
issueTypeIdYesIssue type id
milestoneIdNoMilestone id
estimatedHoursNoEstimated hours for the issue
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 fails to disclose any behavioral traits (e.g., side effects, authentication needs, idempotency). Merely stating 'Add an issue' gives no insight into what the tool does beyond the obvious.

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 short sentence, which is concise but not front-loaded with key details. It lacks structure or prioritization of information, though it is not verbose.

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 13 parameters, no output schema, and no annotations, the description is severely incomplete. It does not explain the tool's behavior, return value, or the context needed to use it effectively.

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 baseline is 3. The description adds no extra meaning beyond what the schema already provides, but it does not harm. Credit for having all parameters documented in schema.

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 'Add an issue' which conveys the verb and resource. However, it does not differentiate from sibling tools like backlog_update_issue, which could cause confusion for the agent.

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 provides no guidance on when to use this tool versus alternatives, such as when to create vs update an issue. This lack of usage context forces the agent to rely solely on the tool name and parameters.

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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