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velesnitski

yt-mcp

by velesnitski

track_cross_dept_journey

Track cross-department handoffs to identify bottlenecks, department load, and average transit times for issues in YouTrack.

Instructions

Track cross-department handoffs: bottlenecks, dept load, avg transit times.

Builds a chronological journey of dept changes (state + project transitions) for each issue. Departments are auto-detected from project shortnames using generic role-based patterns (Backend/Frontend/DevOps/QA/Mobile/etc).

Args: query: YouTrack query selecting issues (e.g. 'project: PROJ #Unresolved') stale_days: Flag current station if held >N days (default: 5) avg_window_days: Rolling window for transit time averages (default: 14) follow_subtasks: Include subtask journeys in parent's chain (default: True) max_issues: Cap on issues fetched (default: 50) instance: YouTrack instance (optional)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
instanceNo
max_issuesNo
stale_daysNo
avg_window_daysNo
follow_subtasksNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided, so description is the sole source. It mentions tracking bottlenecks and flagging stale stations, but lacks explicit mention of side effects, auth needs, or that it is read-only.

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 concise, well-structured with a summary line followed by a bullet list of parameters, and contains no unnecessary words.

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 explains the tool's purpose and parameters thoroughly. With an output schema present, return values need not be detailed. However, it could briefly mention the output structure.

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

Parameters5/5

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

The description includes a detailed Args section with examples (e.g., query example) and defaults for each parameter, adding significant meaning beyond the schema titles and types.

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 it 'Track cross-department handoffs' and elaborates on building chronological journeys. It is distinct from sibling tools which mostly deal with issues, comments, or agile boards.

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 explains how departments are auto-detected and lists parameters, but does not explicitly state when to use this tool versus alternatives or when not to use it.

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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