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amineutron

tracking

by amineutron

open_tracking_ui

Open a live tracking dashboard in a Kitty terminal to monitor sessions, view progress, logs, and errors. Pass an optional filter template to show specific jobs or all sessions.

Instructions

Ouvre le dashboard de tracking dans un terminal Kitty.

Args: filter_template: Template a afficher au demarrage ("lyra_task", "movie", "download"...) Si absent, affiche toutes les sessions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filter_templateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the side effect of opening a terminal window (implying a Kitty dependency), which is useful, but says nothing about whether the call blocks, whether it requires Kitty to be installed, or what the response contains. That is thin for a UI-launching tool with zero annotation coverage.

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 core action is front-loaded in a single sentence, followed by a compact Args block. It is efficient, though the 'Args:' header and repetition of the parameter name add mild overhead.

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?

An output schema exists, so return values need not be described. Purpose and the single parameter are covered, but the description omits usage context and the blocking/async behavior of the call, leaving the picture only partially complete for a tool that spawns an external terminal UI.

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?

Schema description coverage is 0%, so the description must compensate, and it largely does: it explains that filter_template selects which template to display at startup, gives concrete examples ("lyra_task", "movie", "download"), and states the default behavior when omitted. This adds real meaning beyond the bare string type in the schema.

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?

It states a specific verb and resource: opens the tracking dashboard in a Kitty terminal. This is clearly distinguishable from the CRUD-oriented siblings (tracking_create, tracking_list, etc.), which manipulate tracking data rather than launch a UI. It stops short of explicitly naming a sibling to contrast against, so a 4 rather than a 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?

There is no guidance on when to use this launcher versus the many tracking_* data tools, nor any prerequisites or exclusions. Usage is only implied by the name and by 'dashboard'.

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