Skip to main content
Glama
rankin-works

Vetroscope MCP

by rankin-works

Get time by app category

get_category_breakdown

Roll up app time totals into broad categories like editor, browser, gaming, and creative to compare work types without naming specific apps. Flags uncategorized apps for missing classifications.

Instructions

Rolls up app totals into broad categories (editor, browser, adobe, communication, gaming, productivity, creative, music_creation, etc.) so you can ask 'how much creative work vs coding?' without naming every app. Categories mirror Vetroscope's internal app grouping. Apps not in the canonical map land in 'uncategorized' — useful for spotting missing classifications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNotoday | yesterday | week | month | year | a single date YYYY-MM-DD | an inclusive date range YYYY-MM-DD..YYYY-MM-DDweek
hour_startNoInclusive start hour 0-24 in local time. Combine with hour_end (e.g. 9 and 17 = 9am to 4:59pm). Omit both for no hour filter.
hour_endNoExclusive end hour 0-24 in local time. Combine with hour_start.
weekdaysNoRestrict to specific weekdays. 0=Sunday, 1=Monday, …, 6=Saturday. Omit or pass [0,1,2,3,4,5,6] for no weekday filter.
deviceNoRestrict to a single device. Pass 'current' (or 'this') for the local machine, a device UUID from get_device_breakdown, or a platform name like 'darwin', 'win32', 'browser-extension'. Omit or pass 'all' for no device filter.
Behavior4/5

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

With no annotations, the description carries the full burden. It explains categorization logic (internal mapping, uncategorized fallback) which is critical for correct interpretation. It does not mention whether it's read-only, but that is implied by 'get' in the name.

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?

Three well-structured sentences. Each sentence adds value: purpose, internal grouping, and uncategorized behavior. No fluff, but it could be slightly more front-loaded with the main action.

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

Completeness3/5

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

The description explains the categorization and uncategorized handling, but with no output schema, it fails to describe the return format (e.g., list of categories with hours). For a 5-parameter tool with moderate complexity, this is a notable gap.

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?

Since schema description coverage is 100%, the baseline is 3. The description does not add extra meaning beyond what the schema already provides for parameters like period, hour filters, or device.

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 it rolls up app totals into broad categories and gives examples like 'creative work vs coding', distinguishing from per-app breakdown. However, it does not explicitly name sibling tools like get_app_breakdown for contrast.

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 implies usage for high-level questions ('how much creative work vs coding?'), which provides context. But it does not explicitly say when to use this tool versus alternatives like get_app_breakdown, nor does it mention any prerequisites or limitations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/rankin-works/Vetroscope-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server