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nulab

Backlog MCP Server

get_issues

Retrieve a filtered list of issues from Backlog projects. Supports filtering by project, status, assignee, dates, custom fields, and more.

Instructions

Returns list of issues

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdNoProject IDs
issueTypeIdNoIssue type IDs
categoryIdNoCategory IDs
versionIdNoVersion IDs
milestoneIdNoMilestone IDs
statusIdNoStatus IDs
priorityIdNoPriority IDs
assigneeIdNoAssignee user IDs
createdUserIdNoCreated user IDs
resolutionIdNoResolution IDs
parentIssueIdNoParent issue IDs
keywordNoKeyword to search for in issues
startDateSinceNoStart date since (yyyy-MM-dd)
startDateUntilNoStart date until (yyyy-MM-dd)
dueDateSinceNoDue date since (yyyy-MM-dd)
dueDateUntilNoDue date until (yyyy-MM-dd)
createdSinceNoCreated since (yyyy-MM-dd)
createdUntilNoCreated until (yyyy-MM-dd)
updatedSinceNoUpdated since (yyyy-MM-dd)
updatedUntilNoUpdated until (yyyy-MM-dd)
sortNoSort field
orderNoSort order
offsetNoOffset for pagination
countNoNumber of issues to retrieve
customFieldsNoCustom field filters (text, numeric, date, or list)
organizationNoOptional organization name. Use list_organizations to inspect available organizations.
Behavior1/5

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

No annotations provided. The description does not disclose behavioral traits such as authentication requirements, rate limits, pagination behavior, or any side effects. For a read operation with 26 optional parameters, the description is insufficiently transparent.

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, which is concise but lacks structure. It is minimal but not overly verbose; however, it could benefit from bullet points or additional context without becoming bloated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (26 input parameters, no output schema, no annotations), the description is severely incomplete. It does not explain default behavior, pagination, sorting, or the scope of issues returned. The schema provides details but the description should offer a higher-level summary.

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?

Input schema has 100% description coverage, with clear descriptions for each parameter (e.g., 'Project IDs', 'Keyword to search for in issues'). The tool description adds no additional meaning beyond what the schema already provides, 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 states 'Returns list of issues', clearly indicating a read operation that retrieves multiple issues. It distinguishes from sibling tools like 'get_issue' (single issue) and 'count_issues' (count). However, it does not mention the extensive filtering capabilities implied by the input schema.

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 on when to use this tool versus alternatives like 'get_issue' or 'count_issues'. The description lacks context on appropriate use cases for listing vs. retrieving single items or counts.

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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