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ratoshniuk

Growatt MCP Server

by ratoshniuk

get_plant_energy

Read-onlyIdempotent

Retrieve historical energy generation for a solar plant by specifying plant ID, start and end dates, with optional day, month, or year granularity.

Instructions

Get historical energy generation for a plant.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, starting at 1.
perpageNoResults per page, max 100.
end_dateYesEnd date, YYYY-MM-DD.
plant_idYesPlant ID, as returned by get_plants.
time_unitNoGranularity: "day", "month" or "year".day
start_dateYesStart date, YYYY-MM-DD. The interval may not exceed 7 days.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already cover the safety profile with readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, and the description is consistent with these. However, the description adds no extra behavioral context such as pagination or date-range constraints beyond what the schema provides.

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 concise sentence with no filler. It front-loads the core purpose and every word contributes to understanding what the tool does.

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 rich input schema, output schema, and annotations, the minimal description is largely sufficient. The main gap is the lack of explicit routing among sibling plant-data tools, but nothing essential for calling the tool correctly is missing.

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?

The input schema provides descriptions for all 6 parameters, so schema coverage is 100%. The description adds no additional parameter meaning beyond 'for a plant', which is acceptable given the schema's completeness.

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 ('Get') and identifies a precise resource ('historical energy generation for a plant'). It is clear and distinguishable in focus from siblings like get_plant_details or get_max_data, though it does not explicitly contrast with get_plant_data.

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 phrase 'historical energy generation' gives a clear implied context for when to use the tool, but the description does not state alternatives, exclusions, or prerequisites. An agent has to infer the intended choice among several plant-related siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.