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tv_apps

List installed app versions and learned routes for an LG webOS TV, enabling agents to launch apps or find native routes that need visual discovery.

Instructions

Installed app versions, learned routes and native routes requiring visual discovery.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.1

TDQS

C2.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the data domain (app versions, learned and native routes) but does not state whether the operation is read-only, what side effects occur, or how results are returned. This is partial transparency for a zero-parameter tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, so it is concise, but it is a fragment lacking a verb and not front-loaded with actionable information. Structure is weak despite brevity.

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 zero-parameter tool with no output schema or annotations, the description should explain what the tool returns and when to invoke it. It provides only a bare list of data categories, leaving the agent unable to confidently select it over numerous siblings.

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?

The tool has zero parameters, so the schema description baseline is 4. There is nothing for the description to add or clarify regarding parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description is a noun phrase listing data types ('Installed app versions, learned routes and native routes') but never states an action verb or what the tool actually does. It does not distinguish this tool from siblings like tv_discover or tv_learn.

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 indication of when to use this tool, what prerequisites exist, or which alternatives (e.g., tv_discover, tv_learn) it replaces. The agent is left to infer usage entirely.

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