get_system_info
Retrieve LG TV system information including model name and software version to identify device capabilities.
Instructions
Get TV system information (model, etc.).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Retrieve LG TV system information including model name and software version to identify device capabilities.
Get TV system information (model, etc.).
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description provides minimal behavioral insight: it's a read-only info retrieval without side effects, but could mention permissions or response nature.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One concise, front-loaded sentence with no wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, and the description only vaguely hints at output ('model, etc.'). Could specify common fields, but adequate for a simple tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
No parameters exist (schema coverage 100%), baseline score 4. The description adds marginal context ('model, etc.') beyond the empty schema, which is acceptable.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it retrieves TV system information like model, which distinguishes it from sibling tools that perform actions or retrieve other specific info (e.g., get_current_channel, get_volume).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description does not explicitly state when to use this tool vs alternatives, but the simple purpose and sibling context imply it's for general system info retrieval, lacking exclusions or alternatives.
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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