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Connect environmental sensor bus

connect_environmental_sensor_bus

Generate a scaffold for environmental sensors that normalizes readings, maps sensors, configures an adapter, and includes building-control safety notes.

Instructions

Create an environmental sensor scaffold with normalized readings, sensor maps, adapter source, and building-control safety notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoGenerated baseCOMP name.environmental_sensor_bus
activeNo
zone_countNo
adapter_urlNohttp://127.0.0.1:9093/environment
parent_pathNoParent COMP for environment sensors./project1
adapter_modeNohttp_json
sensor_countNo
sensor_profileNoco2_temp_humidity
Behavior3/5

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

The description adds context by naming the scaffold's components, which goes beyond annotations already provided (readOnlyHint=false, destructiveHint=false). It implies a write operation that creates artifacts, but it does not disclose potential side effects, network usage (adapter_url), or effects on existing nodes. With annotations present, the bar is lower, but more behavioral clarity would be beneficial.

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 description is a single sentence and front-loads the core action (create scaffold) followed by a list of included artifacts. It is compact and avoids repetition, though the packed list of specialized terms could be clearer. Overall, it earns its place without wasting words.

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 creation tool with eight parameters, no output schema, and minimal schema descriptions, a one-sentence description is inadequate. It conveys the high-level outcome but leaves out usage guidelines, parameter semantics, and behavioral caveats. The agent is under-informed to correctly select and invoke this complex scaffold tool.

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

Parameters1/5

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

Schema description coverage is only 25% (2 of 8 parameters have descriptions), and the description provides no additional parameter-level information. It does not explain adapter_mode, sensor_profile, zone_count, or sensor_count. The listed artifacts (e.g., adapter source) are too vague to infer parameter meanings. The description fails to compensate for the low schema coverage.

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?

The description uses a specific verb+resource: it 'creates an environmental sensor scaffold' and lists concrete artifacts (normalized readings, sensor maps, adapter source, building-control safety notes). This distinguishes it from generic connect/create tools. However, the tool name is 'connect' while the description says 'create', causing slight ambiguity about the primary action.

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?

The description gives no guidance on when to use this tool versus alternatives. It does not state prerequisites, typical scenarios, or situations where another tool would be better. The single sentence describes the output but provides no contextual usage direction.

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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