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flowiesner

fronius-mcp

by flowiesner

solar_power_flow

Retrieve real-time solar power flow data from your Fronius inverter. Monitor PV generation, grid exchange, battery status, and house load to optimize energy self-consumption.

Instructions

Real-time power flow data from the Fronius Symo GEN24 inverter.

Returns PV generation (pv_w), grid exchange (grid_w, positive = import, negative = export), house load (load_w), battery power (battery_w, positive = charging, negative = discharging), autonomy and self-consumption percentages, daily/yearly/total energy yields, operating mode, and battery standby state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must convey behavioral traits. It implies a read-only operation but does not explicitly state it as non-destructive or idempotent. The return fields are detailed, but beyond that, no information on permissions, rate limits, or side effects is given.

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 extremely concise: two sentences, front-loaded with the primary purpose, and the second sentence lists all output fields efficiently. No redundant or extraneous information.

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?

For a read-only tool with no parameters and no output schema, the description fully covers what the tool returns, including units and sign conventions. It is complete enough for an agent to understand the tool's output without additional context.

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

Parameters4/5

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

There are no parameters, and schema description coverage is 100% trivially. The baseline for zero parameters is 4, and the description appropriately focuses on the output rather than parameters, which is correct.

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 it provides real-time power flow data from a specific inverter model, and lists all returned fields. The verb 'Returns' implies a read operation, and the resource is well-defined. It distinguishes itself from sibling tools like solar_battery or solar_meter by focusing on overall power flow.

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 given on when to use this tool versus alternatives. It does not mention use cases, prerequisites, or when not to use it. The description is purely factual without contextual recommendations.

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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