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marcinn2

GoodWe MCP Server

get_runtime_data

Read live data from GoodWe inverter sensors. Filter by sensor kind (PV, AC, UPS, BAT, GRID, BMS) to get power, voltage, current, energy, battery state, and grid status.

Instructions

Read current live data from all inverter sensors.

Args: sensor_kind: Optional filter — one of PV, AC, UPS, BAT, GRID, BMS. Omit to return all sensors.

Returns power, voltage, current, energy, battery state, grid status and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sensor_kindNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries full burden. It states the tool reads live data and lists return fields, which is adequate but doesn't disclose potential costs, caching, or side effects. No contradiction with 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?

The description is concise (4 lines), front-loaded with the main action, and includes parameter details efficiently. Every sentence adds value without redundancy.

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

Completeness4/5

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

Given the tool's simplicity (one optional parameter) and the presence of an output schema, the description is nearly complete. It explains what the tool does, the parameter, and return values. Minor omission: no mention of read-only nature, but it's clear from context.

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

Parameters5/5

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

The only parameter 'sensor_kind' has 0% schema coverage, but the description adds clear semantics: optional filter with enumerated values and behavior when omitted. This fully compensates for missing schema descriptions.

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 'Read current live data from all inverter sensors', using a specific verb and resource. It distinguishes from siblings like 'read_sensor' by implying bulk read vs single sensor.

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?

The description mentions an optional filter and omitting to return all, but does not explicitly state when to use this tool vs alternatives like 'read_sensor' or 'list_sensors'. Usage context is implied but not definitive.

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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