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ratoshniuk

Growatt MCP Server

by ratoshniuk

add_datalogger

Destructive

Attach a datalogger to a solar plant by providing its serial number, plant ID, and user ID to update Growatt's system.

Instructions

Attach a datalogger to a plant. Changes state on Growatt's side.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
snYesDatalogger serial number.
plant_idYesPlant ID, as returned by get_plants.
c_user_idYesEnd-user ID (c_user_id) as returned by list_users.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.8/5.0
Behavior3/5

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

The description adds a small amount of behavioral context by stating that the operation changes state on Growatt's side, which aligns with annotations readOnlyHint=false and destructiveHint=true. However, it does not elaborate on irreversibility, permissions, or exact side effects, so the added value beyond the annotations is limited.

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 two short sentences with no filler. The primary action is front-loaded, and the second sentence efficiently conveys the state-changing nature of the tool.

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?

For a straightforward three-parameter mutation tool with a full input schema, output schema, and annotations covering safety traits, the description is mostly complete. It could mention prerequisites or consequences, but the annotations and schema already supply critical operational context.

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 description coverage is 100%, so the schema already explains all three parameters (sn, plant_id, c_user_id). The description does not add parameter-level meaning beyond what the schema provides, so the baseline score of 3 is appropriate.

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 uses a specific verb ('Attach') with a clear resource ('datalogger to a plant'), and the second sentence reinforces that it is a state-changing operation. This distinguishes it from sibling tools like get_dataloggers (read-only listing) and add_storage_device (a different device type).

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 intended use is implied by the action statement, but the description gives no explicit guidance on when to choose this tool over alternatives, nor does it mention exclusions or prerequisites. There is no comparison to sibling tools or conditions for use.

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