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harshmaur

GitLab MCP Server

by harshmaur

list_issues

Retrieve and filter issues from a GitLab project using criteria like assignee, labels, state, and date ranges to track project tasks.

Instructions

List issues in a GitLab project with filtering options

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID or URL-encoded path
assignee_idNoReturn issues assigned to the given user ID
assignee_usernameNoReturn issues assigned to the given username
author_idNoReturn issues created by the given user ID
author_usernameNoReturn issues created by the given username
confidentialNoFilter confidential or public issues
created_afterNoReturn issues created after the given time
created_beforeNoReturn issues created before the given time
due_dateNoReturn issues that have the due date
labelsNoArray of label names
milestoneNoMilestone title
scopeNoReturn issues from a specific scope
searchNoSearch for specific terms
stateNoReturn issues with a specific state
updated_afterNoReturn issues updated after the given time
updated_beforeNoReturn issues updated before the given time
with_labels_detailsNoReturn more details for each label
pageNoPage number for pagination (default: 1)
per_pageNoNumber of items per page (max: 100, default: 20)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'filtering options' but fails to detail critical behaviors: whether this is a read-only operation, pagination handling (implied by parameters but not explained), rate limits, authentication needs, or what the output format looks like. This is inadequate for a tool with 19 parameters and no output schema.

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, efficient sentence with zero wasted words. It front-loads the core purpose ('List issues in a GitLab project') and adds a concise qualifier ('with filtering options'), making it easy to parse and appropriately sized for its function.

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 complexity (19 parameters, no output schema, no annotations), the description is incomplete. It lacks behavioral details (e.g., pagination, auth), output expectations, and usage guidelines. While the schema covers parameters well, the description doesn't compensate for missing annotations or output schema, leaving gaps for agent understanding.

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 schema fully documents all 19 parameters. The description adds minimal value by noting 'filtering options,' which is already evident from the parameter names and descriptions. It doesn't provide additional context like parameter interactions or default behaviors beyond the schema, meeting the baseline for high coverage.

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 action ('List issues') and resource ('in a GitLab project'), which provides a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'get_issue' (singular retrieval) or 'list_issue_links' (related metadata), leaving room for improvement in distinguishing scope.

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. It doesn't mention prerequisites (e.g., authentication), compare to siblings like 'search_repositories' for broader searches, or specify scenarios like bulk retrieval versus single-issue lookups, leaving the agent without usage context.

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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