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create_issue

Create new issues or tickets in Redmine projects to track bugs, features, or tasks with details like priority, assignee, and deadlines.

Instructions

Create a new issue/ticket in Redmine. Returns the created issue with its ID and details.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesThe ID of the project to create the issue in
subjectYesThe title/subject of the issue
descriptionNoDetailed description of the issue
tracker_idNoThe tracker type ID (e.g., Bug, Feature, Support)
status_idNoThe status ID (e.g., New, In Progress, Resolved)
priority_idNoThe priority ID (e.g., Low, Normal, High, Urgent)
assigned_to_idNoThe user ID to assign the issue to
start_dateNoStart date in YYYY-MM-DD format
due_dateNoDue date in YYYY-MM-DD format
done_ratioNoPercentage of completion (0-100)
fixed_version_idNoThe ID of the target version (milestone)
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 states the tool creates an issue and returns details, but lacks critical information: it doesn't mention authentication requirements, rate limits, whether the operation is idempotent, or potential side effects (e.g., notifications). For a mutation tool with zero annotation coverage, this is inadequate.

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, efficient sentence that front-loads the core action ('Create a new issue/ticket in Redmine') and adds a useful note about the return value. There's no wasted verbiage, though it could be slightly more structured (e.g., separating purpose from output).

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?

For a complex mutation tool with 11 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain the return format beyond 'ID and details', lacks error handling or permission context, and omits behavioral traits. Given the richness needed, it falls short of providing complete guidance.

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 schema description coverage is 100%, with all 11 parameters well-documented in the input schema (e.g., 'project_id' as 'The ID of the project to create the issue in'). The description adds no parameter-specific information beyond what's in the schema, so it meets the baseline of 3 for high schema coverage without compensating value.

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 ('Create a new issue/ticket') and resource ('in Redmine'), making the purpose immediately understandable. It distinguishes this tool from siblings like 'update_issue' or 'delete_issue' by specifying creation. However, it doesn't explicitly differentiate from all siblings (e.g., 'add_comment' also creates something), so it's not a perfect 5.

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 like 'update_issue' or 'search_issues'. It mentions the return value but doesn't specify prerequisites (e.g., needing a project ID) or contextual constraints, leaving the agent to infer usage from the tool name alone.

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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