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lubosstrejcek

victron-tcp

Meteo / Irradiance Sensor

victron_meteo_status
Read-onlyIdempotent

Retrieve solar irradiance, wind speed, cell temperature, and external temperatures from IMT Solar sensors on Victron GX systems via Modbus TCP or MQTT.

Instructions

Get meteorological sensor data from IMT Solar irradiance sensors: solar irradiance (W/m²), wind speed, cell temperature, and external temperatures. Connected via RS485/USB. Unit ID is always 100.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
hostYesGX device IP address or hostname
portNoModbus TCP port
mqttHostNoMQTT broker host. Defaults to the "host" parameter or VICTRON_HOST env var.
mqttPortNoMQTT broker port. Defaults to VICTRON_MQTT_PORT env var or 1883.
portalIdNoVenus OS portal ID for MQTT topics. Use victron_mqtt_discover to find it. Defaults to VICTRON_PORTAL_ID env var.
transportNoTransport protocol. Defaults to VICTRON_TRANSPORT env var or "modbus".
deviceInstanceNoMQTT device instance number. If omitted, uses wildcard subscribe to find the first matching device.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
readingsYes
serviceInstanceNo
Behavior4/5

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

Annotations declare read-only, idempotent, non-destructive; description adds connection method (RS485/USB) and fixed unit ID, providing useful behavioral context beyond annotations.

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?

Two concise sentences that immediately state purpose and key data, with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given annotations, full output schema, and low complexity, the description is complete enough for an agent to invoke correctly, covering data types and connection specifics.

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?

Schema has 100% parameter descriptions, so description adds little extra meaning; only mentions unit ID. Baseline 3 is appropriate as schema does the heavy lifting.

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?

Description clearly states the tool retrieves meteorological data (solar irradiance, wind speed, temperatures) from IMT Solar sensors, distinguishing it from other victron_* status tools that cover different device types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Implies usage for getting sensor data from specific sensors, but lacks explicit when-to-use or when-not-to-use guidance compared to siblings.

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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