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Connect weather forecast bus

connect_weather_forecast_bus

Build a weather forecast station scaffold including forecast rows, sensor maps, alert maps, adapter source, and safety-policy notes for TouchDesigner network creation in natural language.

Instructions

Create a weather forecast/station scaffold with forecast rows, sensor maps, alert maps, adapter source, and safety-policy notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoGenerated baseCOMP name.weather_forecast_bus
activeNo
providerNoopenweather
adapter_urlNohttp://127.0.0.1:9069/weather
alert_countNo
parent_pathNoParent COMP for the weather scaffold./project1
adapter_modeNorest_json
sensor_countNo
location_labelNovenue
forecast_hour_countNo
Behavior3/5

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

Annotations already indicate a non-read-only, non-destructive open-world operation. The description adds context about what the scaffold includes, which is useful, but it does not disclose side effects, generated structure details, or runtime behavior beyond listing component categories.

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

Conciseness5/5

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

The description is a single, front-loaded sentence that conveys the core purpose and key components without wasted words. It is appropriately sized for its role.

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?

Given 10 parameters, no output schema, and minimal annotation context, this short description is insufficient. It does not explain the meaning of parent_path, active, provider, or count parameters, nor what the created scaffold will look like or how to verify success.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With only 20% schema description coverage, the description needed to compensate, but it does not mention any parameter names or map its component words to schema properties. The phrase 'forecast rows' hint at forecast_hour_count and 'adapter source' at adapter_url/adapter_mode, but this is too vague to guide correct values for the eight undocumented parameters.

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 uses a specific verb ('Create') and identifies a clear resource ('weather forecast/station scaffold') with enumerated components (forecast rows, sensor maps, alert maps, adapter source, safety-policy notes). This makes it distinct from broader 'create' and 'connect' siblings.

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 about when to use this tool versus the many similar bus/scaffold creation tools in the sibling list. There are no exclusions, prerequisites, or alternative tool references, leaving the agent to infer appropriate usage.

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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