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miabilabs

RokuHarness MCP Server

by miabilabs

launch_app

Launch a Roku app by ID and optionally deep-link to specific content using content_id and media_type, enabling automated testing of app startup and media navigation.

Instructions

Launch a specific app with optional deep linking parameters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idYesApp ID to launch (e.g., "12" for Netflix, "dev" for sideloaded)
content_idNoOptional content ID for deep linking
media_typeNoOptional media type (e.g., "movie", "series")
Behavior1/5

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

With no annotations, the description must disclose behavioral traits. It only names the action without stating side effects, requirements, return values, or failure behavior (e.g., what happens if the app is not installed).

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 single-sentence description is front-loaded and contains no fluff. However, it is extremely brief and omits details that could be included without hurting conciseness.

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 three-parameter tool with no output schema and no annotations, this description is under-specified. It does not explain return values, prerequisites, or behavioral outcomes, leaving the agent with significant ambiguity.

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?

The input schema provides 100% coverage with descriptions for each parameter, including examples. The description adds minimal context by labeling content_id and media_type as 'deep linking parameters,' which is a baseline contribution.

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 the action ('Launch') and the resource ('a specific app'), distinguishing it from sibling tools like get_installed_apps or navigate. The verb+resource is specific and unambiguous.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention prerequisites (e.g., an active webdriver session) or exclusions, leaving the agent to infer use cases.

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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