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velesnitski

yt-mcp

by velesnitski

add_work_item

Log time on a YouTrack issue by specifying duration, date, optional description, and work type.

Instructions

Log time on a YouTrack issue.

Args: issue_id: Issue ID or URL duration_minutes: Time spent in minutes date: Date YYYY-MM-DD (default: today) description: Work description (optional) work_type: Work type (optional) instance: YouTrack instance (optional)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo
instanceNo
issue_idYes
work_typeNo
descriptionNo
duration_minutesYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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. It indicates the tool logs time on an issue, implying a non-destructive write operation, but does not detail authorization requirements, rate limits, or error handling (e.g., if the issue does not exist). The parameter defaults (e.g., date=YYYY-MM-DD) provide some transparency.

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 concise, consisting of a one-line action statement followed by a parameter list in a structured 'Args:' format. It is front-loaded with the core purpose. Minor improvement would be using bullet points for readability.

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

Completeness4/5

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

The description covers all parameters with brief explanations, and an output schema exists (not shown) to describe return values, so the agent can infer basic behavior. However, it lacks information on prerequisites (e.g., does the issue need to exist?) and error conditions, but for a simple time-logging tool it is reasonably complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Since schema description coverage is 0%, the description compensates by explaining all 6 parameters with format hints (e.g., 'issue_id: Issue ID or URL', 'date: Date YYYY-MM-DD (default: today)'), adding meaning beyond the schema's titles and defaults. This helps an AI agent understand the expected input format.

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 clearly states 'Log time on a YouTrack issue,' which is a specific verb+resource combination. It distinguishes from siblings like update_work_item (modifying existing) and delete_work_item (removing), making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly state when to use this tool versus alternatives such as update_work_item or delete_work_item. However, the context of sibling tool names and the action 'add' implies it is for creating new work items, but no explicit guidance is provided.

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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